zh-cn	针对软件定义网络(SDN)分布式控制平面中由于网络分域管理所引发的控制扩张问题，该文提出了一种基于流量工程的SDN控制资源优化(TERO)机制。
en-us	In Software-Defined Networking (SDN) with distributed control plane, network expansion problemsarise due to network domain management. To address this issue, a Traffic Engineering-based control ResourceOptimization (TERO) mechanism of SDN is proposed.

zh-cn	首先基于数据流的路径特征对流请求的控制资源消耗进行分析，指出通过调整控制器和交换机的关联关系可以降低控制资源消耗。
en-us	It analyzes the control resource consumption of flowrequests processing with different path characteristics, and points out that the control resource consumptioncan be reduced by changing the association relationship between controllers and switches.

zh-cn	然后将控制器关联过程分为两个阶段：先设计了最小集合覆盖算法来快速求解大规模网络中控制器关联问题；
en-us	The controllerassociation mechanism is divided into two phases: firstly, a minimum set cover algorithm is designed to solvethe controller association problem efficiently in large-scale network.

zh-cn	在此基础上，引入联合博弈策略来优化控制器和交换机的关联关系以减少控制资源消耗和控制流量开销。
en-us	Then, a coalitional game strategy is introduced to optimize the controller association relationship to reduce both control resource consumption and control traffic overhead.

zh-cn	仿真结果表明，与现有的控制器和交换机就近关联机制相比，该文机制能在保证较低控制流量开销的前提下，节省约28%的控制资源消耗。
en-us	The simulation results demonstrate that while keeping control traffic overhead low, mechanism which in this paper can reduce control resource consumption by about 28% in comparison with the controller proximity mechanism.

zh-cn	现有的零陷展宽算法忽略了锥化矩阵的相位信息，在对抗强方向性、大偏差角干扰时，零陷深度变浅，干扰抑制性能严重下降。
en-us	In existing null broadening algorithm, the taper matrix does not contain phase information, and when it is used to against strong directional and large deviation angle interference, the null depth becomes shallow and the interference suppression performance drops seriously.

zh-cn	该文以虚拟空域密集干扰为切入点，推导并提出一种可用于旁瓣对消器的自适应零陷优化设计算法。
en-us	An adaptive null broadening algorithm forsidelobe canceller is proposed based on dense disturbance in virtual airspace.

zh-cn	该算法通过对辅助阵列数据的自协方差矩阵和主辅阵列数据的互协方差矩阵同时进行重构实现零陷区域的自适应控制，锥削矩阵只与阵元位置和展宽宽度有关，无需干扰信息，可以离线生成，不占用系统运算资源。
en-us	The algorithm reconstructs the self-covariance matrix of the auxiliary array data and the co-covariance matrix of the main and auxiliary array data at the same time to realize the adaptive control of the null region. The taper matrix is only related to theposition and width of the array elements, and it can be generated offline without disturbing information andoccupying no computing resources of the system.

zh-cn	仿真结果表明，该方法可以实现零陷区域的自适应展宽，提高非平稳干扰抑制的稳健性。
en-us	The simulation results show that this method can achieveadaptive broadening of the null region and improve the robustness of non-stationary interference suppression.

zh-cn	针对现有兴趣点(POI)推荐算法对不同签到特征的用户缺乏自适应性问题，该文提出一种基于用户签到活跃度(UCA)特征和时空(TS)概率模型的自适应兴趣点推荐方法UCA-TS。
en-us	Existing Point-Of-Interest (POI) recommendation algorithms lack adaptability for users withdifferent check-in features. To solve this problem, an adaptive POI recommendation method UCA-TS based onUser Check-in Activity (UCA) feature and Temporal-Spatial (TS) probabilistic models is proposed.

zh-cn	利用概率统计分析方法提取用户签到的活跃度特征，给出一种用户不活跃和活跃的隶属度计算方法。
en-us	The user check-in activity is extracted using a probabilistic statistical analysis method, and a calculation method of user's inactive and active membership is given.

zh-cn	在此基础上，分别采用结合时间因素的1维幂律函数和2维高斯核密度估计来计算不活跃和活跃特征的概率值，同时融入兴趣点流行度来进行推荐。
en-us	On this basis, one-dimensional power law function and two-dimensional Gaussian kernel density estimation combined with time factor are used to calculate the probability for inactive and active features respectively, and the popularity of POI is incorporated to recommend.

zh-cn	该方法能自适应用户的签到特征，并能更准确体现用户签到的时间和空间偏好。
en-us	This method can adapt to the users' check-in features and reflect the users' check-in temporal-spatial preferences more accurately.

zh-cn	实验结果表明，该方法能够有效提高推荐精度和召回率。
en-us	The experiments show that the proposed method can effectively improve the recommendation precision and recall.

zh-cn	针对5G网络切片架构下业务请求动态性引起的虚拟网络功能(VNF)迁移优化问题，该文首先建立基于受限马尔可夫决策过程(CMDP)的随机优化模型以实现多类型服务功能链(SFC)的动态部署，
en-us	In order to solve the Virtual Network Function (VNF) migration optimization problem caused by the dynamicity of service requests on the 5G network slicing architecture, firstly, a stochastic optimization model based on Constrained Markov Decision Process (CMDP) is established to realize the dynamic deployment of multi-type Service Function Chaining (SFC).

zh-cn	该模型以最小化通用服务器平均运行能耗为目标，同时受限于各切片平均时延约束以及平均缓存、带宽资源消耗约束。
en-us	This model aims to minimize the average sum operating energyconsumption of general servers, and is subject to the average delay constraint for each slicing as well as theaverage cache, bandwidth resource consumption constraints.

zh-cn	其次，为了克服优化模型中难以准确掌握系统状态转移概率及状态空间过大的问题，该文提出了一种基于强化学习框架的VNF智能迁移学习算法，
en-us	Secondly, in order to overcome the issue of having difficulties in acquiring the accurate transition probabilities of the system states and the excessive state space inthe optimization model, a VNF intelligent migration learning algorithm based on reinforcement learning framework is proposed.

zh-cn	该算法通过卷积神经网络(CNN)来近似行为值函数，从而在每个离散的时隙内根据当前系统状态为每个网络切片制定合适的VNF迁移策略及CPU资源分配方案。
en-us	The algorithm approximates the behavior value function by Convolutional NeuralNetwork (CNN), so as to formulate a suitable VNF migration strategy and CPU resource allocation scheme foreach network slicing according to the current system state in each discrete time slot.

zh-cn	仿真结果表明，所提算法在有效地满足各切片QoS需求的同时，降低了基础设施的平均能耗。
en-us	The simulation results show that the proposed algorithm can effectively meet the QoS requirements of each slice while reducing the average energy consumption of the infrastructure.

zh-cn	针对网络流量异常检测过程中提取的流量特征准确性低、鲁棒性差导致流量攻击检测率低、误报率高等问题，该文结合堆叠降噪自编码器(SDA)和softmax，提出一种基于深度特征学习的网络流量异常检测方法。
en-us	In view of the problems of low attack detection rate and high false positive rate caused by pooraccuracy and robustness of the extracted traffic features in network traffic anomaly detection, a network trafficanomaly detection method based on deep features learning is proposed, which is combined with StackedDenoising Autoencoders (SDA) and softmax.

zh-cn	首先基于粒子群优化算法设计SDA结构两阶段寻优算法：根据流量检测准确率依次对隐藏层层数及每层节点数进行寻优，确定搜索空间中的最优SDA结构，从而提高SDA提取特征的准确性。
en-us	Firstly, a two-stage optimization algorithm is designed based onparticle swarm optimization algorithm to optimize the structure of SDA, the number of hidden layers andnodes in each layer is optimized successively based on the traffic detection accuracy, and the optimal structureof SDA in the search space is determined, improving the accuracy of traffic features extracted by SDA.

zh-cn	然后采用小批量梯度下降算法对优化的SDA进行训练，通过最小化含噪数据重构向量与原始输入向量间的差异，提取具有较强鲁棒性的流量特征。
en-us	Secondly, the optimized SDA is trained by the mini-batch gradient descent algorithm, and the traffic features with strong robustness are extracted by minimizing the difference between the reconstruction vector of the corrupted data and the original input vector.

zh-cn	最后基于提取的流量特征对softmax进行训练构建异常检测分类器，从而实现对流量攻击的高性能检测。
en-us	Finally, softmax is trained by the extracted traffic features toconstruct an anomaly detection classifier for detecting traffic attacks with high performance.

zh-cn	实验结果表明：该文所提方法可根据实验数据及其分类任务动态调整SDA结构，提取的流量特征具有更高的准确性和鲁棒性，流量攻击检测率高、误报率低。
en-us	The experimental results show that the proposed method can adjust the structure of SDA based on the experimental data and its classification tasks, extract traffic features with a higher accuracy and robustness, and detect traffic attacks with high detection rate and low false positive rate.

zh-cn	正交频分复用(OFDM)已被广泛应用于无线通信系统，其数据传输安全具有一定的实际意义。
en-us	Orthogonal Frequency Division Multiplexing(OFDM) is widely used in wireless communication systems, and its data transmission security has certain practical significance.

zh-cn	该文提出了一种双重加密方案，采用神经网络生成置乱矩阵实现第1次加密，通过基于Logistic映射与Sine映射的复合离散混沌系统产生的混沌序列进行第2次加密。该双重加密方案极大提升了OFDM通信系统的保密性，可以有效地防止暴力攻击。
en-us	A double encryption scheme is proposed which enhances the confidentiality of the OFDM communication system and can prevent brute force attacks significantly. Specifically, the first encryption is achieved by using neural network to generate the scrambling matrix, and the second encryption is implemented by chaotic sequence generating by composite discrete chaotic system based on Logistic mapping and Sine mapping.

zh-cn	相比于单一的1维Logistic映射的混沌系统，基于Logistic映射与Sine映射的复合离散混沌系统具有更大的密钥空间。
en-us	Moreover, it has larger secret key space compared with the single one-dimensional Logistic mapping chaotic system.

zh-cn	该文运用Lyapunov指数与NIST测试验证了该混沌系统的混沌特性及随机性，并仿真验证了双重加密方案的保密性能。
en-us	The performance of doubleencryption is measured by verifying its chaotic characteristics and randomness (Lyapunov exponent and NIST)as well as its security performance in simulation.

zh-cn	仿真结果表明，该文所提出的加密方案密钥空间为4×1093，Lyapunov指数提高到0.9850，NIST测试中最大P值为0.9995。
en-us	The results show that Lyapunov index is increased to 0.9850,and the maximum P-value in the NIST test is 0.9995 by using the proposed double encryption in this paper.

zh-cn	该双重加密方案可在不影响传输性能下极大提升OFDM通信系统的安全性。
en-us	It indicates such double encryption significantly improve the confidentiality of the OFDM communication system without affecting the transmission performance.

zh-cn	该文针对有限次采样导致传统波达方向角(DOA)估计算法存在较大估计误差的问题，提出一种基于稀疏低秩分解(SLRD)的稳健DOA估计方法。
en-us	Focusing on the problem of rather large estimation error in the traditional Direction Of Arrival(DOA) estimation algorithm induced by finite subsampling, a robust DOA estimation method based onSparseand Low Rank Decomposition (SLRD) is proposed in this paper.

zh-cn	首先，基于低秩矩阵分解方法，将接收信号协方差矩阵建模为低秩无噪协方差及稀疏噪声协方差矩阵之和；
en-us	Following the low-rank matrixde composition method, the received signal covariance matrix is firstly modeled as the sum of the low-rank noise-free covariance matrix and sparse noise covariance one.

zh-cn	而后基于低秩恢复理论，构造关于信号和噪声协方差矩阵的凸优化问题；
en-us	After that, the convex optimization problem associated with the signal and noise covariance matrix is constructed on the basis of the low rank recovery theory.

zh-cn	再者构建关于采样协方差矩阵估计误差的凸模型，并将此凸集显式包含进凸优化问题以改善信号协方差矩阵估计性能进而提高DOA估计精度及稳健性；
en-us	Subsequently, a convex model of the estimation error of the sampling covariance matrix can be formulated, and this convex set is explicitly included into the convex optimization problem to improve the estimation performance of signal covariance matrix such that the estimation accuracy and robustness of DOA can be enhanced.

zh-cn	最后基于所得最优无噪声协方差矩阵，利用最小方差无畸变响应(MVDR)方法实现DOA估计。
en-us	Finally, with the obtained optimal noiseless covariance matrix, the DOA estimation can be implemented by employing the Minimum Variance Distortionless Response (MVDR) method.

zh-cn	此外，基于采样协方差矩阵估计误差服从渐进正态分布的统计特性，该文推导了一种误差参数因子选取准则以较好重构无噪声协方差矩阵。
en-us	In addition, exploiting the statistical characteristics of the sampling covariance matrix estimation error subjecting to the asymptotic normal distribution, an error parameter factor selection criterion is deduced to reconstruct the noise-free covariance matrix preferably.

zh-cn	数值仿真表明，与传统常规波束形成(CBF)、最小方差无畸变响应(MVDR)、传统多重信号分类(MUSIC)及基于稀疏低秩分解的增强拉格朗日乘子(SLD-ALM)算法相比，有限次采样条件下所提算法具有较高DOA估计精度及较好稳健性能。
en-us	Compared with the traditional Conventional BeamForming (CBF),Minimum Variance Distortionless Response(MVDR), MUltiple SIgnal Classification (MUSIC) and Sparse andLow-rank Decomposition based Augmented Lagrange Multiplier(SLD-ALM) algorithms, numerical simulations show that the proposed algorithm has higher DOA estimation accuracy and better robustness performance under finite sampling snapshot.

zh-cn	作为5G的关键技术之一，非正交多址(NOMA)通过非正交方式访问无线通信资源，以实现提高频谱利用率、增加用户连接数的目的。
en-us	As one of the key 5G technologies, Non-Orthogonal Multiple Access (NOMA) can improve spectrum efficiency and increase the number of user connections by utilizing the resources in a non-orthogonal manner.

zh-cn	该文提出将压缩感知(CS)及广义正交匹配追踪(gOMP)算法引入上行免调度NOMA系统，从而增强NOMA系统活跃用户检测及数据接收的性能。
en-us	In the uplink grant-free NOMA system, the Compressive Sensing (CS) and generalized Orthogonal MatchingPursuit (gOMP) algorithm are introduced in active user and data detection, to enhance the system performance.

zh-cn	通过每次迭代识别多个索引，gOMP算法实际上是传统的正交匹配追踪(OMP)算法的扩展。
en-us	The gOMP algorithm is literally generalized version of the Orthogonal Matching Pursuit (OMP)algorithm, in the sense that multiple indices are identified per iteration.

zh-cn	为了获得最优性能，研究分析了在gOMP算法信号重构的每次迭代中所应选择的最优索引数目。
en-us	Meanwhile, the optimal number of indices selected per iteration in the gOMP algorithm is addressed to obtain the optimal performance.

zh-cn	仿真结果表明：与其它的贪婪追踪算法及梯度投影稀疏重构(GPSR)算法相比，最优索引gOMP算法具有更优异的信号重构性能；
en-us	Simulations verify that the gOMP algorithm with optimal number of indices has better recovery performance, compared with the greedy pursuit algorithms and the Gradient Projection Sparse Reconstruction (GPSR)algorithm.

zh-cn	并且，对于不同的活跃用户数或过载率等参数配置的NOMA系统，均表现出最优的多用户检测性能。
en-us	In addition, given different system configurations in terms of the number of active users and subcarriers, the proposed gOMP with optimal number of indices also exhibits better performance than that of the other algorithms mentioned in this paper.

zh-cn	采用近天底的宽刈幅干涉高度计是近年来新发展的海面高程测量技术，与陆地高程测量不同，海浪一直处于随机运动之中，其动态特性会在合成孔径雷达(SAR)成像和干涉处理中引入显著误差。
en-us	The wide-swath interferometric altimeter working at near-nadir is a newly developed ocean surface topography measurement technology in recent years. Different from land elevation measurement, for the dynamic ocean surface waves, they move randomly all the time and this brings bias in Synthetic ApertureRadar (SAR) imaging and interferometric processes and leads to the final height measurement errors.

zh-cn	对于厘米级的干涉测量精度要求来说，该误差是主要误差源之一。
en-us	For the requirement of centimeter-level precision, this error is the main source of measurement errors.

zh-cn	该文研究了由海面特性引起的高程误差机理及其对于近天底干涉SAR测高精度的影响，建立了运动误差理论模型，同时考虑了电磁偏差与叠掩偏差影响。
en-us	The errors due to the characteristics of ocean surface and their impact on near-nadir InSAR’s precision are investigated. The motion error theoretical model is established combining the characteristics of the ocean surface and InSAR working mechanism, and the electromagnetic bias and layover bias are also taken into consideration.

zh-cn	基于不同SAR工作体制，在不同海况下进行了理论近似仿真，并进行了干涉SAR全链路仿真，全链路仿真结果能够与理论仿真较好地吻合，验证了误差模型的正确。
en-us	The error models in different SAR modes under various sea states are simulated. The error model is validated by the interferometric SAR full-link experimental simulation and the simulation results are consistent with the theoretical values.

zh-cn	结果显示由海浪引起的误差随着多普勒中心频率近似呈线性变化，且与目标散射加权径向速度成正比。
en-us	The results show that the errors are approximately linear changing with the Dopplercentroid frequency and are proportional to the radial velocity of targets modulated by scattering.

zh-cn	误差不仅与海浪特性相关，还与雷达系统参数相关，这能为未来系统设计、误差预算和海面高程处理提供参考。
en-us	The errors are not only related to the characteristics of the waves, but also related to system parameters. This work can provide the feasible suggestions for future system design, error budget and data processing.

zh-cn	为提高全变分图像降噪模型的降噪性能和边缘保持性能，该文提出一种曲率差分驱动的极小曲面滤波器。
en-us	To improve performance of denoising and edge preservation of the total variational image denoising model, a curvature difference driven minimal surface filter is proposed.

zh-cn	首先，在平均曲率滤波器模型基础上，引入自适应曲率差分边缘探测函数，建立曲率差分驱动的极小曲面滤波器模型；
en-us	Firstly, the presented filter model isconstructed by adding an adaptive edge detection function of curvature difference to the mean curvature filtermodel.

zh-cn	接着，从微分几何理论角度，阐述该能量泛函模型的物理意义和平均曲率能量减小方法；
en-us	After that, from the perspective of differential geometry theory, the physical meaning of the energy functional model and the method of reducing the average curvature energy are elaborated.

zh-cn	最后，在离散的图像域，通过迭代的方式使图像每个像素邻域内的曲面向极小曲面迭代进化，实现能量泛函的平均曲率能量极小化，从而能量泛函的总能量也完成极小化。
en-us	Finally, in the discrete image domain, the surface in the neighborhood of each pixel of the image is iteratively evolved to the minimal surface to minimize the average curvature energy of the energy functional, so that the total energy of the energy functional is also minimized.

zh-cn	实验表明，该滤波器不仅能去除高斯噪声、椒盐噪声，还能去除这两类噪声构成的混合噪声，其降噪性能和边缘保持性能优于同类型的其他5种全变分算法。
en-us	Experiments show that the filter can not only remove Gauss noise andsalt and pepper noise, but also remove the mixed noise composed of these two kinds of noise. Its performance of noise reduction and edge preservation is better than the other five total variational algorithms of the same kind.

zh-cn	穿墙场景下，由于墙体造成信号严重衰减，接收信号中目标反射信号的能量大幅下降，接收信号淹没在收发机直射信号和室内家具反射信号中，难以检测墙后目标。
en-us	In through-the-wall scene, due to the serious attenuation of signal caused by wall, the energy of target reflection signal in the received signal decreases significantly and the received signal is submerged in the direct signal of the transceiver and the reflection signal of indoor furniture, making the target behind wall is hard to be detected.

zh-cn	针对上述问题，该文提出一种新颖的基于多维信号特征融合的穿墙多人体目标检测算法(TWMD)。
en-us	In view of the above problems, a novel Through-the-Wall Multiple human targetsDetection (TWMD) algorithm based on multidimensional signal features fusion is proposed.

zh-cn	先对接收到的信道状态信息(CSI)进行预处理以消除相位误差和幅值噪声，再利用CSI的时序相关性和子载波相关性从相关系数矩阵中提取多维信号特征，最后使用BP神经网络完成特征与检测结果之间的映射。
en-us	Firstly, the received Channel State Information(CSI) is preprocessed to eliminate the phase error and amplitude noise, and the multidimensional signal features are fully extracted from the correlation coefficient matrix by using time correlation and subcarrier correlation of CSI. Finally, the mapping between features and detection results isestablished by BP neural network.

zh-cn	实验结果表明，该算法在玻璃墙、砖墙和混凝土墙环境的识别精度分别在0.98,0.90, 0.85以上。
en-us	The experimental results show that the recognition accuracy of this algorithm in the environment with glass wall, brick wall and concrete wall is above 0.98, 0.90, 0.85, respectively.

zh-cn	根据所统计的4000个各类样本的检测结果，与现有基于单一信号特征的检测算法相比，该文算法在对不同数量运动目标的检测上，获得了平均0.45的精度提升。
en-us	According to the detection results of 4000 samples, compared with the existing detection algorithms based on single signal feature, the proposed algorithm achieves an average accuracy improvement of 0.45 in the detection of different number of moving targets.

zh-cn	针对5G网络中因小区重叠覆盖区域的干扰问题，为缓解密集小蜂窝网络中移动用户的业务连续性，提高频谱资源利用率，该文提出一种基于不活跃用户的最优能量效率资源分配方案(EEI)。
en-us	Considering the interference problem of overlapping areas of cells, the service continuity of mobileusers and the utilization of spectrum resources in the 5G network, an Energy Efficient resource allocationscheme for the Inactive user(EEI) is proposed.

zh-cn	首先，该方案依据不活跃用户通知区域，建立以用户为中心的虚拟小区，小区内小蜂窝基站可协作为用户提供通信服务，提高用户通信质量，缓解小蜂窝同层干扰，减少切换信令开销。
en-us	Firstly, a user-centered virtual cell is generated based on thenotification area of the inactive users, and the intra-cell next-generation NodeBs (gNBs) could cooperativelyprovide communication services for users to improve the communication quality, lower the inter-cellinterference, and reduce the handover signaling overhead.

zh-cn	其次，基于Lyapunov优化理论，该方案将整体网络平均能量效率优化问题，转换为用户最优传输资源分配和最优功率分配两个子问题，在最大化系统平均能量效率同时保证系统队列稳定性。
en-us	Secondly, Lyapunov optimization method is used tomaximize the energy efficiency of the network, while ensuring the stability of the data queue. To make the optimization problem tractable, the scheme is decomposed into two sub-problems: the optimal transmission resource allocation and optimal transmission power allocation.

zh-cn	由于该文将原优化问题进行了松弛，所得结果是局部最优解，而不是全局最优解。
en-us	Notice that, the optimal solutions are local optimal, which are based on the relaxed optimization problem.

zh-cn	仿真结果表明，该文提出的基于不活跃用户的最优能量效率资源分配算法，其系统能量效率优于对比算法而计算复杂度较高。
en-us	The simulation results show that the proposedenergy efficiency resource allocation scheme based on the inactive users could achieve a better performance thanthe comparison algorithms,in the price of higher computational complexity.

zh-cn	路预测旨在利用网络中已有的拓扑结构或其他信息，预测未连边节点间存在连接的可能性。
en-us	Link prediction considers to discover the unknown or missing links of complex networks by using the existing topology or other information.

zh-cn	资源分配指标具有较低复杂度的同时取得了较好的预测效果，但在资源传输过程的描述中缺少对路径有效性的刻画。
en-us	Resource Allocation index can achieve a good performance with lowcomplexity. However, it ignores the path effectiveness of resource transmission process.

zh-cn	资源传输过程是网络演化连边产生的重要内在动力，通过分析节点间资源传输路径周围拓扑的有效性，该文提出一种基于资源传输路径有效性的链路预测方法。
en-us	The resource transmission process is an important internal driving force for the evolution of the network. By analyzing theeffectiveness of the topology around the resource transmission path between nodes, a link prediction methodbased on topological effectiveness of resource transmission paths is proposed.

zh-cn	该方法首先分析了节点间潜在的资源传输路径对资源传输量的影响，提出资源传输路径有效性的量化方法。
en-us	Firstly, the influence of potential resource transmission paths between nodes on resource transmission is analyzed, and a quantitative method for resource transmission path effectiveness is proposed.

zh-cn	然后，基于资源传输路径的有效性，通过对双向资源传输量进行刻画，提出了节点间传输路径的有效性指标。
en-us	Then, based on the effectiveness of the resource transmission path, after studying the two-way resource transmission amount between two nodes, the transmission path effectiveness index is proposed.

zh-cn	在12个实际网络数据集上的实验测试表明，相比其他基于相似性的链路预测方法，该方法在AUC和Precision衡量标准下能够取得更好的效果。
en-us	The experimental results of 12 real networks show thatcompared with other link prediction methods, the proposed method can achieve higher prediction accuracy under the AUC and Precision metrics.

zh-cn	在异构无线网络中，针对综合考虑网络端和用户端参数的垂直切换算法，参数权重难以确定，同时基于模糊逻辑的垂直切换算法存在复杂度高的问题，该文提出一种基于模糊逻辑的分级垂直切换算法。
en-us	In the heterogeneous wireless networks, the parameter weight is difficult to determine for the vertical handover algorithm considering the parameters of the network and the user, at the same time, the vertical handover algorithm based on fuzzy logic has high complexity. Considering this problem, a hierarchical verticalhandover algorithm based on fuzzy logic is proposed.

zh-cn	首先，将接收信号强度(RSS)、带宽、时延输入到1级模糊逻辑系统，结合规则自适应匹配，推理出QoS模糊值，并通过QoS模糊值对网络进行初步筛选得到候选网络集；
en-us	Firstly, the Received Signal Strength (RSS), bandwidthand delay are input into the first-level fuzzy logic system. Combining with the rule adaptive matching, the QoS fuzzy value is inferred, and the network is initially filtered by the QoS fuzzy value to obtain the candidate network set;

zh-cn	然后通过触发机制触发2级模糊逻辑系统，并将候选网络的QoS模糊值、网络负载率、用户接入费用输入2级模糊逻辑系统，同时结合规则自适应匹配，得到输出判决值，从而选择最佳接入网络。
en-us	Then, the second-level fuzzy logic system is triggered by the trigger mechanism, and the QoS fuzzy value, network load rate and user access cost of the candidate network are input into the second-level fuzzy logic system. At the same time, the output decision value is obtained by combining the adaptive rule matching,so as to select the best access network.

zh-cn	最后，实验结果表明，该算法能保证网络性能的同时，降低系统的时间开销。
en-us	Finally, the experimental results show that the algorithm can guaranteethe network performance while reducing the time cost of the system.

zh-cn	针对现有脑机接口(BCI)分类器与大脑认知过程结合不够紧密的问题，该文提出一种基于Chernoff加权的分类器集成框架方法，并用于同步运动想象脑机接口中。
en-us	For the problem that the classifier is less considered to be combined with the brain's cognitive processin the Brain-Computer Interface (BCI) system, a Chernoff-weighted based classifier integrated frame method isproposed and used in synchronous motor imagery BCI.

zh-cn	通过对训练数据进行统计分析，获得各时刻脑电信号(EEG)的统计特性，并建立基于大脑认知过程的高斯概率模型。
en-us	In the method, the statistic characteristics of ElectroEncephaloGraphy (EEG) are obtained by analyzing in each time point of synchronous BCI,

zh-cn	然后利用Chernoff边界特性得到该概率模型的最小误差，并以此确定该时刻分类器的权重，通过对各时刻分类器的加权，实现同步脑机接口的信号分类。
en-us	and then the probability model is established to compute the Chernoff error bound, which is adopted as the weight of common classifier to take the discriminant process.

zh-cn	以脑机接口竞赛数据作为测试，并与线性判决分析、支持向量机和极限学习方法分别结合构成新的集成方法。
en-us	The test experiments are based on the datasets from BCIcompetitions, and the proposed frame method is employed to compose with LDA, SVM, ELM respectively.

zh-cn	由实验结果可知，加权集成框架方法的分类性能比原独立分类方法有显著提高。
en-us	The experimental results demonstrate that the proposed frame method shows competitive performance compared with other methods.

zh-cn	超密集网络(UDNs)拉近了终端与节点间的距离，使得网络频谱效率大幅度提高，扩展了系统容量，但是小区边缘用户的性能严重下降。
en-us	Ultra-Dense Networks (UDNs) shorten the distance between terminals and nodes, which improve greatly the spectral efficiency and expand the system capacity. But the performance of cell edge users is seriously degraded.

zh-cn	合理规划的虚拟小区(VC)只能降低中等规模UDNs的干扰，而重叠基站下的用户的干扰需要协作用户簇的方法来解决。
en-us	Reasonable planning of Virtual Cell (VC) can only reduce the interference of moderate scaleUDNs, while the interference of users under overlapped base stations in a virtual cell needs to be solved bycooperative user clusters.

zh-cn	该文提出了一种干扰增量降低(IIR)的用户分簇算法，通过在簇间不断交换带来最大干扰的用户，最小化簇内的干扰和，最终最大化系统和速率。
en-us	A user clustering algorithm with Interference Increment Reduction (IIR) is proposed,which minimizes the sum of intra-cluster interference and ultimately maximizes system sum rate bycontinuously switching users with maximum interference between clusters.

zh-cn	该算法在不提高K均值算法的复杂度的同时，不需要指定簇首，避免陷入局部最优。
en-us	Compared with K-means algorithm, this algorithm, no need of specifying cluster heads, avoids local optimum without increasement of the computation complexity.

zh-cn	仿真结果表明，网络密集部署时，有效提高系统和速率，尤其是边缘用户的吞吐量。
en-us	The simulation results show that the system sum rate, especially the throughput ofedge users, can be effectively improved when the network is densely deployed.

zh-cn	针对大规模多入多出(MIMO)系统上行链路非平稳空间相关信道的估计问题，该文利用信道的时间-空间2维稀疏结构信息，应用狄利克雷过程(DP)和变分贝叶斯推理(VBI)，设计了一种低导频开销和计算复杂度的信道估计迭代算法，提高了信道估计精度。
en-us	To deal with the estimation problem of non-stationary channel in massive Multiple-Input Multiple-Output (MIMO) up-link, the 2D channels’ sparse structure information in temporal-spatial domain is used, to design an iterative channel estimation algorithm based on Dirichlet Process (DP) and Variational BayesianInference (VBI), which can improve the accuracy under a lower pilot overhead and computation complexity.

zh-cn	由于平稳空间相关信道难以适用于大规模MIMO系统，该文借助于狄利克雷过程构建了非平稳空间相关信道先验模型，可将具有空间关联的多个物理信道映射为具有相同时延结构的概率信道，并应用变分贝叶斯推理设计了低导频开销和计算复杂度的信道估计迭代算法。
en-us	On account of that the stationary channel models is not suitable for massive MIMO systems anymore, a non-stationary channel prior model utilizing Dirichlet Process is constructed, which can map the physical spatial correlation channels to a probabilistic channel with the same sparse temporal vector. By applying VBItechnology, a channel estimation iteration algorithm with low pilot overhead and complexity is designed.

zh-cn	实验结果验证了所提算法的有效性，且具有对系统关键参数鲁棒性的优点。
en-us	Experiment results show the proposed channel method has a better performance on the estimation accuracythan the state-of-art method, meanwhile it works robustly against the dynamic system key parameters.

zh-cn	在LTE-V2X系统中，针对车载用户切换过程中蜂窝链路及SideLink(SL)链路质量不高以及SL辅助切换过程中SL链路易中断的问题，该文提出一种基于SL的联合切换方案，主要包含：联合切换流程设计、联合切换信令流程设计以及联合切换判决算法设计。
en-us	For LTE-V2X(Long Term Evolution-Vehicle to Everything) system, the cellular link and theSideLink (SL) are usually unstable in the handover process, and the situation is even deteriorating when the SLis employed to assist the normal handover process. To solve these problems, an SL-assisted joint handover scheme is proposed for vehicles in the network, which mainly includes: joint handover procedure design,  signaling design, and the joint handover decision algorithm.

zh-cn	首先，在联合切换流程中利用SL技术实现联合切换，并对执行联合切换的SL链路质量进行筛选，以保证联合切换的可靠性；
en-us	Firstly, the SL is established for the vehicles thatare about to request for handover. The SL is set up between the pair of vehicles with the best channel quality to ensure the link reliability.

zh-cn	其次，对联合切换信令流程进行了完善，以优化SL辅助切换过程中SL链路易中断问题；
en-us	Secondly, in order to tackle the perplexing problem of SL being vulnerable in the fast changing radio environment, the joint handover signaling procedure is optimized with respect to two different realistic circumstances.

zh-cn	最后，在联合切换判决算法中将车载用户的移动方向纳入切换判决条件，从而减少不必要的切换。
en-us	Finally, the vehicle’s moving direction is further included in making thehandover decision, thus reducing unnecessary handover operations.

zh-cn	仿真结果显示，该文所提方案能有效提升切换成功率，与此同时还能有效减少执行LTE切换的次数。
en-us	Simulation results illustrate that the SL-assisted joint handover scheme can effectively ameliorate the handover success rate and reduce significantly then umber of LTE handovers.

zh-cn	为了挖掘说话人识别领域中人脸和语音的相关性，该文设计多模态生成对抗网络(GAN)，将人脸特征和语音特征映射到联系更加紧密的公共空间，
en-us	In order to explore the correlation between face and audio in the field of speaker recognition, a novelmultimodal Generative Adversarial Network (GAN) is designed to map face features and audio features to amore closely connected common space.

zh-cn	随后利用3元组损失对两个模态的联系进一步约束，拉近相同个体跨模态样本的特征距离，拉远不同个体跨模态样本的特征距离。
en-us	Then the Triplet-loss is used to constrain further the relationshipbetween the two modals, with which the intra-class distance of the two modals is narrowed, and the inter-classdistance of the two modals is extended.

zh-cn	最后通过计算公共空间特征的跨模态余弦距离判断人脸和语音是否匹配，并使用Softmax识别说话人身份。
en-us	Finally, the cosine distance of the common space features of the twomodals is calculated to judge whether the face and the voice are matched, and Softmax is used to recognize the speaker identity.

zh-cn	实验结果表明，该方法能有效地提升说话人识别准确率。
en-us	Experimental results show that this method can effectively improve the accuracy of speaker recognition.

zh-cn	针对高超声速(HSV)平台雷达系统，该文提出一种基于高超声速平台前斜视多通道合成孔径雷达地面动目标检测(SAR-GMTI)杂波抑制方法。
en-us	According to the HyperSonic Vehicle (HSV) borne radar platform system, a multi-channel SAR-GMTI clutter suppression method is presented based on hypersonic platform forward squint mode.

zh-cn	该方法先进行时域距离走动校正和距离压缩，并补偿距离向通道相位误差实现距离向包络对齐；
en-us	First, range walk correction and range compression are completed in the time domain, and the distance envelope is aligned simultaneously with phase error compensation.

zh-cn	然后再对方位多普勒扩展的信号进行3阶线调频傅里叶变换(CFT)压缩，并补偿方位向通道相位误差实现方位向包络对齐；
en-us	Then, the Doppler extended signal is compressed by three-orderazimuth Chirp Fourier Transform (CFT), and the azimuth envelope of the echo is aligned with phase errorcompensation simultaneously.

zh-cn	接着在距离时域-方位CFT域利用数字波束形成(DBF)技术对杂波及其模糊分量置零进行空时自适应处理(STAP)，从而可以有效抑制静止杂波及其模糊分量并提取出无模糊的运动目标回波信号。
en-us	Next, the Digital Beam Forming (DBF) technology is applied to the range time-azimuth CFT domain by nulling the clutter and its ambiguous components to achieve Space-Time AdaptiveProcessing (STAP). The stationary clutter and its ambiguous components can be suppressed effectively and theecho signs of the moving target without blurring can be extracted.

zh-cn	为研究敌我识别(IFF)辐射源信号的细微特征，针对目前在复杂噪声环境中IFF辐射源个体识别研究不足的问题，该文提出一种基于集成固有时间尺度分解的IFF辐射源个体识别算法。
en-us	In order to study the subtle feature recognition of Identification Foe or Friend (IFF) radiation source signals, this paper proposes an IFF individual recognition method based on ensemble intrinsic time-scale decomposition to solve the problem of insufficient research on individual identification of IFF radiation source in complex noise environment.

zh-cn	该算法应用集成固有时间尺度分解(EITD)将采样信号自适应划分为若干有实际意义的信号分量并求取IFF辐射源信号在时频域的能量分布图。
en-us	In this algorithm, the Ensemble Intrinsic Time-scale Decomposition (EITD) is applied to dividing the sampled signals into several practical signal components and obtaining the energy distribution diagram of the IFF radiation source signals in time-frequency domain.

zh-cn	通过对时频能量谱的纹理分析，以图像的纹理特征表征辐射源信号的无意调制特征，送入支持向量机(SVM)中进行分类识别。
en-us	Through the texture analysisof time-frequency energy spectrum, the unintentional modulation feature of the radiation source signals isrepresented by the texture features of the image, which are sent to the Support Vector Machine (SVM) forclassification and recognition.

zh-cn	实验表明，所提算法相较于基于希尔伯特-黄变换(HHT)、基于固有时间尺度分解(ITD)的辐射源个体识别方法在识别准确度上有较大提升。
en-us	Experiments show that the proposed method is more accurate than the Hilbert-Huang Transform (HHT) and Inherent Time scale Decomposition (ITD) based method.

zh-cn	针对相控阵雷达时间资源分配问题，该文提出一种基于价值优化的任务调度算法。
en-us	A task scheduling algorithm based on value optimization is proposed for phased array radar.

zh-cn	首先建立任务调度属性参数，对跟踪任务队列进行可行性分析和筛选操作，确定跟踪任务调度属性。
en-us	Firstly,the schedulability of tracking tasks is obtained through feasibility analysis and selecting operation on the taskqueue, using the proposed schedulability parameters.

zh-cn	其次，根据任务最大价值及其变化斜率，建立关于实际执行时刻的动态任务价值函数，并基于此构建任务调度的价值优化模型，对跟踪任务执行时刻进行分配，以更好满足及时性原则。
en-us	Then, a dynamic task value function about the actual execution time is established according to the peak value and value changing slope of tasks. A value optimization model for tracking task scheduling is constructed based on the task value function. Timeliness can be better achieved while adopting this model to assign execution time for tasks.

zh-cn	最后，利用执行跟踪任务间的空闲时间片对搜索任务进行调度。
en-us	Finally, searching tasks are scheduled using the idle time intervals between tracking tasks which are going to be executed.

zh-cn	仿真结果表明，该文算法有效减小了时间偏移量，提升了实现价值率。
en-us	Simulation results show that proposed algorithm reduces the average time shift ratio, and improves the value achieving ratio compared with the traditional scheduling algorithms.

zh-cn	正交频分复用(OFDM)系统中，由于频率发生选择性衰落会导致信道在数据传输中产生符号间干扰，因此接收机往往需要知道信道状态信息。
en-us	In the Orthogonal Frequency Division Multiplexing (OFDM) system, the receiver often needs to know the channel state information, because the frequency selective fading channel will generate inter-symbol interference in the data transmission.

zh-cn	而在海上通信的情况下，信道传输会受到多种外界因素的干扰，往往需要预先进行信道探测估计。
en-us	In the case of maritime communication, the method of channel estimationis often needed to detect the channel subjected to the interference of various external factors.

zh-cn	为了提高估计性能，该文提出一种基于奇异值分解优化观测矩阵的快速贝叶斯匹配追踪稀疏信道估计优化算法(FBMPO)，该算法不仅能够充分考虑海上通信的信道稀疏性，也能够降低信道的不确定性带来的影响。
en-us	In order to improve the estimation performance, the Fast Bayesian Matching Pursuit based on singular-value-decomposition for Optimizing observation matrix (FBMPO) is proposed, which fully considers not only the sparse channel of maritime communication, but also reduces the influence of uncertainty of the unpredictable channel.

zh-cn	计算机仿真实验表明，与传统的信道估计算法相比，该算法能够提高信道估计的精确度。
en-us	Computer simulation shows, compared with traditional channel estimation algorithms, the proposed algorithm can effectively improve the accuracy of channel estimation.

zh-cn	在支持车与车直接通信(V2V)的非正交多址接入(NOMA)蜂窝网络场景下，针对V2V用户与蜂窝用户的干扰以及NOMA准则下的功率分配问题，该文提出一种基于能效的动态资源分配算法。
en-us	In the Non-Orthogonal Multiple Access (NOMA) based cellular network with Vehicle-to-Vehicle(V2V) communication, to mitigate the co-channel interference between V2V users and cellular users as well as the power allocation problem based on the NOMA principle, an energy efficiency dynamic resource allocation algorithm is proposed.

zh-cn	该算法首先为了保证V2V用户的时延及可靠性同时满足蜂窝用户的速率需求，联合考虑子信道调度、功率分配和拥塞控制，建立了最大化系统能效的随机优化模型。
en-us	Firstly, a stochastic optimization model is established to maximize the energy efficiency by considering subchannel scheduling, power allocation and congestion control, in order to guarantee the delay and reliability of V2V users while satisfying the rate of cellular users.

zh-cn	其次，利用李雅普诺夫随机优化方法，通过控制可接入数据量保证队列稳定性以避免网络拥塞，并根据实时网络负载状态动态地进行资源调度，设计一种次优化子信道匹配算法获得用户调度方案，
en-us	Then, leveraging on the Lyapunovstochastic optimization method, the traffic queues can be stabilized by admitting as much traffic data aspossible to avoid network congestion, and the radio resource can be allocated dynamically according to the real-time network traffic and thus a suboptimal subchannel matching algorithm is designed to obtain the userscheduling scheme.

zh-cn	进一步，利用凸优化理论和拉格朗日对偶分解方法得到功率分配策略。
en-us	Furthermore, the power allocation policy is obtained by utilizing successive convexoptimization theory and Lagrange dual decomposition method.

zh-cn	最后，仿真结果表明，该文算法可以满足不同用户的服务质量(QoS)需求，并在保证网络稳定性前提下提高系统能效。
en-us	Finally, the simulation results show that the proposed algorithm can improve the system energy efficiency and ensure the Quality of Service (QoS)requirements of different users and network stability.

zh-cn	多元医学信号的典型代表有多模态睡眠图和多通道脑电图等，采用无监督深度学习表征多元医学信号是目前健康信息学领域中的一个研究热点。
en-us	Learning unsupervised representations from multivariate medical signals, such as multi-modality polysomnography and multi-channel electroencephalogram, has gained increasing attention in health informatics.

zh-cn	为了解决现有模型没有充分结合医学信号多元时序结构特点的问题，该文提出了一种无监督的多级上下文深度卷积自编码器(mCtx-CAE)。
en-us	In order to solve the problem that the existing models do not fully incorporate the characteristics of the multivariate-temporal structure of medical signals, an unsupervised multi-Context deep Convolutional AutoEncoder (mCtx-CAE) is proposed in this paper.

zh-cn	首先改进传统卷积神经网络结构，提出一种多元卷积自编码模块，以提取信号片段内的多元上下文特征；
en-us	Firstly, by modifying traditional convolutional neural networks, a multivariate convolutional autoencoder is proposed to extract multivariate context features within signal segments.

zh-cn	其次，提出采用语义学习技术对信号片段间的时序信息进行自编码，进一步提取时序上下文特征；
en-us	Secondly, semantic learning is adopted to auto-encode temporal information among signalsegments, to further extract temporal context features.

zh-cn	最后通过共享特征表示设计目标函数，训练端到端的多级上下文自编码器。
en-us	Finally, an end-to-end multi-context autoencoder istrained by designing objective function based on shared feature representation.

zh-cn	实验结果表明，该文所提模型在两种应用于不同医疗场景下的多模态和多通道数据集(UCD和CHB-MIT)上表现均优于其它无监督特征学习方法，能有效提高多元医学信号的融合特征表达能力，对提高临床时序数据的分析效率有着重要意义。
en-us	Experimental results conducted on two public benchmark datasets (UCD and CHB-MIT) show that the proposed model outperforms the state-of-the-art unsupervised feature learning methods in different medical tasks, demonstrating the effectiveness of the learned fusional features in clinical settings.

zh-cn	针对行人再识别中由于外观差异不显著导致特征描述不准确的问题，该文提出一种基于双向参考集矩阵度量学习(BRM2L)的行人再识别算法。
en-us	To solve the problem of inaccurate feature representation caused by indistinctive appearancedifference in person re-identification domain, a new Matrix Metric Learning algerithm based on BidirectionalReference (BRM2L) set is proposed.

zh-cn	首先通过互近邻算法获得每个摄像头下的互近邻参考集，为保证参考集的鲁棒性，联合考虑各摄像头下的互近邻参考集获得双向参考集。
en-us	Firstly, reciprocal-neighbor reference sets in different camera views are respectively constructed by the reciprocal-neighbor scheme. To ensure the robustness of reference sets, thereference sets in different camera views are jointly considered to generate the Bidirectional Reference Set(BRS).

zh-cn	通过双向参考集挖掘出困难样本进行特征描述，从而得到准确的外观差异描述。
en-us	With hard samples which are mined by the BRS to represent feature descriptors, accurate appearance difference representations could be obtained.

zh-cn	最后利用该特征描述进行更有效的矩阵度量学习。
en-us	Finally, these representations are utilized to conduct more effective matrix metric learning.

zh-cn	在多个公开数据集上的实验结果证明了该算法比现有算法具有更好的行人再识别性能。
en-us	Experimental results on several public datasets demonstrate the superiority of the proposed method.

zh-cn	针对低速率语音编码问题，该文提出基于G.723.1编码标准的信息隐藏算法。
en-us	For the low-rate speech encoding problem, an information hidden algorithm based on the G.723.1coding standard is proposed.

zh-cn	在基音预测编码过程中，通过控制闭环基音周期(自适应码本)的搜索范围，该文结合随机位置选择方法(RPS)和矩阵编码方法(MCM)，实现秘密信息的嵌入，在语音编码过程中实现了信息的隐藏。
en-us	In the pitch prediction coding process, by controlling the search range of the closed-loop pitch period (adaptive codebook), combined with the Random Position Selection (RPS) method and the Matrix Coding Method (MCM), the secret information is embedded, which is implemented in the speech coding process.

zh-cn	RPS方法的采用降低了载体码字之间的关联性，MCM方法的采用降低了载体的改变率。
en-us	The adoption of the RPS method reduces the correlation between the carrier code-words, andthe adoption of the MCM method reduces the rate of change of the carrier.

zh-cn	实验结果证明，该文算法下PESQ恶化率平均值最大为1.63%，隐蔽性良好。
en-us	The experimental results show that the average PESQ (Perceptual Evaluation of Speech Quality) deterioration rate under the algorithm is 1.63%, and the concealment is good.

zh-cn	卫星健康状况监测是卫星安全保障的重要基础，而卫星遥测数据又是卫星健康状况分析的唯一数据来源。
en-us	Satellite health monitoring is an important concern for satellite security, for which satellite telemetry data is the only source of data.

zh-cn	因此，卫星遥测缺失数据的准确预测是卫星健康分析的重要前瞻性手段。
en-us	Therefore, accurate prediction of missing data of satellite telemetry is animportant forward-looking approach for satellite health diagnosis.

zh-cn	针对极轨卫星多组成系统、多仪器载荷以及多监测指标形成的高维数据特点，该文提出一种基于张量分解的卫星遥测缺失数据预测算法(TFP)，以解决当前数据预测方法大多面向低维数据或只能针对特定维度的不足。
en-us	For the high-dimensional structure formed by the satellite multi-component system, multi-instrument and multi-monitoring index, the Tensor Factorization based Prediction (TFP) algorithm for missing telemetry data is proposed. The proposed algorithm surpasses most existing methods, which can only be applied to low-dimensional data or specific dimension.

zh-cn	所提算法将遥测数据中的系统、载荷、指标以及时间等多维因素作为统一的整体进行张量建模，以完整、准确地表达数据的高维特征；
en-us	The proposed algorithm makes accurate predictions by modeling the telemetry data as a Tensor to integrally utilize its high-dimensional feature;

zh-cn	其次，通过张量分解计算数据模型的成分特征，通过成分特征可对张量模型进行准确重构，并在重构过程中对缺失数据进行准确预测；最后，提出一种高效的优化算法实现相关的张量计算，并对算法中最优参数设置进行严格的理论推导。
en-us	Computing the component matrixes via Tensor Factorization to reconstruct the Tensor which gives the predictions of the missing data; An efficient optimization algorithm is proposed to implement the related tensor calculations, for which the optimal parameter settings are strictly theoretically deduced.

zh-cn	实验结果表明，所提算法的预测准确度优于当前大部分预测算法。
en-us	Experiments show that the proposed algorithm has better prediction accuracy than the most existing algorithms.

zh-cn	针对雷达采取间歇辐射的射频隐身管控措施，以双站测向交叉定位为例，该文研究了辐射时间比与定位性能的影响关系。
en-us	For the radio frequency stealth control measure of radar intermittent radiation, the relationship between radiation time ratio and positioning performance is studied which takes cross location with two stations as an example.

zh-cn	首先分析了雷达间歇辐射的管控方法，然后在载机做匀速直线运动的假设下，采用克拉美罗下界(CRLB)方法，建立了辐射时间比对定位精度的影响模型。
en-us	Firstly, the control method of radar intermittent radiation is analyzed. Then, under theassumption of uniform linear motion of the carrier aircraft, the influence model of radiation time ratio onpositioning accuracy is established by using the Cramer-Rao Lower Bound (CRLB).

zh-cn	最后给出了模型的求解步骤并进行了仿真验证。
en-us	Finally, the solution stepsof the model are given and verified by simulation.

zh-cn	仿真结果表明，不同辐射时间比对定位性能的影响不同，在初始距离为100 km，辐射时间比小于0.5时，定位收敛时间超过10 s，可以有效降低测向交叉定位的性能。
en-us	The simulation results show that different radiation timeratios have different effects on the location performance. When the initial distance is 100 km and the radiationtime ratio is less than 0.5, the location convergence time exceeds 10 s, which can effectively reduce the performance of cross location with two stations.

zh-cn	双星TDOA/FDOA联合定位通过时差曲面和频差曲面进行定位，定位的精度受时差/频差测量精度的影响。
en-us	Dual satellite TDOA/FDOA localization is achieved by the TDOA hyperboloid and FDOAhyperboloid. The accuracy of localization is affected by TDOA/FDOA accuracy.

zh-cn	针对精确测量时差/频差的需求，该文提出一种基于短合成孔径的双星干涉测量时差/频差的方法，利用一定长度的合成孔径提高测量精度。
en-us	In order to measure accurately theTDOA/FDOA, a method of TDOA/FDOA measurement based on short synthetic aperture is presented. This method improves the measurement accuracy by using a certain length of synthetic aperture.

zh-cn	对于窄带信号，该方法有估计单星多普勒频率的能力，通过两颗卫星单独估计的结果得到频差；
en-us	For narrow band signals, the method has the ability to estimate a single satellite Doppler frequency, and the frequency difference can be obtained from the results estimated by the two satellites.

zh-cn	对于宽带信号，通过双星数据干涉可以获得频差的高精度估计。
en-us	For wideband signals, high-precision estimates of frequency differences can be obtained by dual satellite data interference.

zh-cn	对于短期稳定的雷达信号，STK仿真数据的处理结果证实了该方法的有效性。
en-us	For short-term stable radar signals,the processing results of STK simulation data confirm the effectiveness of the proposed method.

zh-cn	根据对马刺线的原理分析，该文提出一种新型马刺线结构，并在此基础上设计出一种新颖的超宽带功分器(频率范围为2.5～13.2 GHz)。
en-us	Based on the study of the spur-line, a novel spurs-line structure is proposed. The design of a novelUltra-WideBand (UWB) power divider is described based on the novel spur line structure for the 2.5～13.2GHz frequency range.

zh-cn	该超宽带功分器尺寸较小，制作结构简单，带内传输特性好，输入与输出端口的回波损耗均小于–12 dB，带内插入损耗小于3.5 dB。
en-us	The designed device is compact and has a simple structure and good frequency response in the band. Its return loss insertion is less than –12 dB and its insertion loss is less than 3.5 dB.

zh-cn	在设计过程中，根据理想传输线模型，利用奇偶模分析方法，推导出设计的目标函数，并利用天牛须算法对其进行优化设计，有效提高了功分器的设计准确性和灵活性。
en-us	The equations used for the design are based on the concept of odd-even modes and transmission line analysis. The Beetle Antennae Search (BAS) algorithm is used to improve the efficiency and accuracy of the power divider design.

zh-cn	为了验证设计的准确性，采用材料RO4003C作为基板设计超宽带功分器。
en-us	In order to verify the accuracy of the design, a UWB power divider is designed by using material RO4003C assubstrate.

zh-cn	实验结果表明，采用新型马刺线结构的超宽带功分器结合天牛须算法有效缩短了计算时间，提高了设计精度，可以广泛运用于超宽带功分器设计。
en-us	The results validate the feasibility of the spur line-based design and demonstrate that the BAS algorithm has a shortened running time and improved precision compared to other optimization methods. It can be widely used in UWB power divider design.

zh-cn	该文设计实现了一种全数字前馈式时间交织模数转换器(TIADC)时间误差校准算法，其中采样时间误差提取采用改进的时间误差函数求导模块的前馈式提取方法，可以提高在输入信号频率较高时误差提取的准确度；
en-us	A full digital feedforward Time-Interleaved Analog-to-Digital Converter (TIADC) time skew calibration algorithm is presented, the time skew estimation adopts the feedforward extraction method of the improved derivative module of time skew function, which can greatly improve the accuracy of skew estimation when the input signal frequency is high.

zh-cn	同时，为了降低误差提取单元的复杂性，采用了以减法实现的时间误差函数；
en-us	At the same time, the time skew function is based on subtraction, in order to reduce the complexity of skew estimation unit.

zh-cn	最后，采用基于1阶泰勒补偿完成时间误差的实时校正。
en-us	Finally, the time skew is corrected by using first-orderTaylor compensation.

zh-cn	仿真验证表明，应用于4通道14位TIADC系统，当输入信号为多频信号时，系统动态性能无杂散动态范围(SFDR)从48.6 dB提高到80.7 dB。
en-us	The simulation results show that when the input signal is a multi-frequency signal, the Spurious-Free Dynamic Range (SFDR) increases from 48.6 dB to 80.7 dB, after adopting the proposed time skew correction for a 4-channal 14-bit TIADC system.

zh-cn	与传统基于前馈校准结构对比，可以将有效校准输入信号带宽从0.19提高到0.39，提高了校准算法的应用范围。
en-us	Compared with the traditional feedforward calibrationstructure based on correlation operation, the effective calibration input signal bandwidth can be increased from0.19 to 0.39, which greatly increases the application range of the calibration algorithm.

zh-cn	随着工业物联网(IoT)、云计算等信息技术与工业控制系统(ICS)的整合，工业数据的安全正面临着极大风险。
en-us	With the integration of information technology such as industrial Internet of Things (IoT), cloudcomputing and Industrial Control System (ICS), the security of industrial data is at enormous risk.

zh-cn	为了能在这样一个复杂的分布式环境中保护数据的机密性和完整性，该文采用基于属性的加密(ABE)算法，设计一种集数据加密、访问控制、解密外包、数据验证为一体的通信方案，同时具有密文长度恒定的特点。
en-us	In order to protect the confidentiality and integrity of data in such a complex distributed environment, a communication scheme is proposed based on Attribute-Based Encryption (ABE) algorithm, which integrates data encryption, access control, decryption outsourcing and data verification. In addition, it has the characteristics of constant ciphertext length.

zh-cn	最后，从正确性、安全性和性能开销3个方面对方案进行详细的分析，并通过仿真验证得出该算法具有低解密开销的优势。
en-us	Finally, the scheme is analyzed in detail from three aspectsie correctness, security and performance overhead. The simulation results show that the algorithm has the advantage of low decryption overhead.

zh-cn	样本数不足时，由采样协方差矩阵特征分解得到的噪声子空间偏离其真实值，使得多重信号分类(MUSIC)算法目标角度(DOA)估计性能下降。
en-us	For cases with small samples, the estimated noise subspace obtained from sample covariance matrix deviates from the true one, which results in MUltiple SIgnal Classification (MUSIC) Direction-Of-Arrival (DOA)estimation performance breakdown.

zh-cn	为了解决这个问题，该文提出了一种迭代算法通过校正信号子空间来提高MUSIC算法性能。
en-us	To deal with this problem, an iterative algorithm is proposed to improve theMUSIC performance by modifying the signal subspace in this paper.

zh-cn	该方法首先利用采样协方差矩阵特征分解得到的噪声子空间粗略估计目标角度；
en-us	Firstly, the DOAs are roughly estimated based on the noise subspace obtained from sample covariance matrix.

zh-cn	其次基于信源的稀疏性和导向矢量的低秩特性，由上一步得到的目标角度以及其邻域角度对应的导向矢量构造一个新的信号子空间；
en-us	Then, considering the sparsity of signals and the low-rank property of steering matrix, a new signal subspace is got from the steering matrix consisting of estimated DOAs and their adjacent angles.

zh-cn	最后通过解一个优化问题来校正信号子空间。
en-us	Finally, the signal subspace is modified by solving an optimizationproblem.

zh-cn	仿真结果表明，该算法有效地提高了子空间估计精度。基于新的信号子空间实现MUSIC DOA估计可以使得性能得到改善，且在低样本数下改善尤为明显。
en-us	Simulation results demonstrate the proposed algorithm can improve the subspace estimation accuracy and furtherly improve the MUSIC DOA estimation performance, especially in small sample cases.

zh-cn	网络编码由于其传输效率高的特性，近年来在无线多播网络中得到广泛的应用。
en-us	Network coding is widely used in wireless multicast networks in recent years due to its high transmission efficiency.

zh-cn	针对无线多播网络中丢包自动重传效率低的问题，该文提出一种新的基于虚拟队列中数据包到达时间的编码调度策略(CSAT)。
en-us	To address the low efficiency of automatic retransmission caused by packet loss in wireless multicast network, a new Coding Scheduling strategy based on Arriving Time (CSAT) in virtual queue is proposed.

zh-cn	在CSAT策略中，为了提高编码效率，采用虚拟队列来存放初始以及未被所有接收者接收到的数据包。
en-us	For improving encoding efficiency, virtual queues are used to store packets that are initially generated and not received by all receivers.

zh-cn	考虑到队列的稳定性，CSAT策略按照一定的比率从主次队列选择发送；
en-us	Considering the stability of the queue, CSAT strategy chooses tosend packet from the primary and secondary queue at a certain ratio.

zh-cn	在次队列发送数据包时，结合了编码和非编码两种方式，根据数据包到达队列的先后，选取能够使较多数据包参与编码的方式发送。
en-us	Both encoding and non-encoding methods are combined to send in the secondary queue. According to the arrival sequence of packets in the queue, the sending method that makes more packets participate in encoding is selected.

zh-cn	仿真结果表明，该文所提的CSAT编码调度策略在有效提高了数据包传输效率的同时，提高了网络的吞吐量并降低了平均等待时延。
en-us	Simulation results show that the proposed CSAT not only effectively improves packet transmission efficiency, but also improves network throughput and reduces average wait delay.

zh-cn	针对现有超像素分割方法无法自动确定合适的超像素数目，以及难以有效贴合图像目标边界等问题，该文提出一种新的利用局部信息进行多层级简单线性迭代聚类的图像超像素分割方法。
en-us	Considering the problem that the existing superpixel methods are usually unable to set anappropriate number of generated superpixels automatically and unable to adhere to image boundarieseffectively, a new superpixel method is proposed in this paper, which utilizes local information to perform multi-level simple linear iterative clustering to generate superpixels.

zh-cn	首先，运用基于局部信息的简单线性迭代聚类(LI-SLIC)对原始图像进行超像素初分割，
en-us	First, original image is initially segmented bySimple Liner Iterative Clustering based on Local Information (LI-SLIC).

zh-cn	然后，根据超像素的色彩标准差对其进行自适应多层级迭代分割，直至每个超像素块的色彩标准差小于预设阈值，
en-us	Then, each super pixel is segmented iteratively until its color standard deviation is lower than a predefined threshold.

zh-cn	最后，利用相邻超像素间的色彩差异对过分割的超像素进行合并。
en-us	Finally, the over-segmented super pixels are merged based on the color differences between adjacent super pixels.

zh-cn	为验证方法的有效性，该文采用Berkeley, Pascal VOC和3Dircadb公共数据库作为实验数据集，并与其他多种超像素分割方法进行了比较。实验结果表明，该文提出的超像素分割方法能更精确贴合图像目标边界，有效抑制图像过分割和欠分割。
en-us	Experiments on Berkeley, Pascal VOC and 3Dircadb databases, as well as comparison with other methods indicate that the proposed method can adhere to image boundaries more accurately, and can prevent over- and under- segmentations more effectively.

zh-cn	相比于传统高阶时域有限差分算法(FDTD)而言，该文提出了一种改进的高阶FDTD的优化方法，
en-us	Compared with the traditional high-order Finite Difference Time Domain(FDTD) Method, animproved high-order FDTD optimization method is proposed in this paper.

zh-cn	该算法基于安培环路定律，通过计算机技术寻找到一组最优的系数使得FDTD方法的全局色散误差达到最小，
en-us	This algorithm is based on Ampere’s law of circuits and finds a set of optimal coefficients through computer technology to minimize the global dispersion error of the FDTD method.

zh-cn	通过不同分辨率下的点源辐射模拟证明了该方法在较低分辨率的情况下仍然具有极低的相位误差，对于解决电大尺寸结构建模中的数值色散等问题提供了有效的解决方案。
en-us	The simulation of point source radiation with different resolutions shows that this method still has very low phase error in the case of lower resolution. It provides an effective solutionto the problem of numerical dispersion in the modeling of large size structures.

zh-cn	针对异构网络中D2D通信复用蜂窝用户频谱时存在的频谱分配问题，该文提出一种基于改进离散鸽群优化(PIO)算法的D2D通信资源分配机制。
en-us	For the problem of spectrum allocation in the multiplexing of cellular user spectrum resources byDevice-to-Device (D2D) communication in heterogeneous networks, a D2D communication resource allocation mechanism based on improved discrete Pigeon-Inspired Optimization(PIO) algorithm is proposed.

zh-cn	通过设置信干噪比(SINR)门限值来保证用户的通信服务质量(QoS)，采用功率控制算法为用户设置发射功率，使用基于运动权值的二进制离散鸽群优化(MWBPIO)算法为D2D用户进行资源分配，并将D2D通信技术与中继技术进行有效结合，为边缘用户建立D2D中继链路，保证边缘用户的通信质量，最大化系统性能目标。
en-us	The user'sQuality of Service (QoS) is guaranteed by setting the Signal-to-Interference plus Noise Ratio (SINR) threshold,the transmitting power is set for users by power control algorithms. To allocate resources for D2D users, theBinary discrete PIO based on Motion Weight (MWBPIO) algorithm is used. To ensure the communicationquality of edge users, the D2D communication technology and relay technology are used to establish D2D relaylinks, so then the performance of system can be maximized.

zh-cn	仿真结果表明，该方案有效抑制了异构通信系统中引入D2D用户后导致的干扰问题，提高了边缘用户的通信质量和系统的频谱利用率以及系统的能效。
en-us	Simulation results show that the proposed scheme can effectively suppress the interference caused by the introduction of D2D users in heterogeneous communication systems. Moreover, the proposed scheme can effectively improve the communication quality of edge users, and improve the utilization of spectrum resources and the performance of the system.

zh-cn	在极限学习机(ELM)网络结构和训练模式的基础上，该文提出了相关熵融合极限学习机(CF-ELM)。
en-us	Based on the network structure and training methods of the Extreme Learning Machine (ELM),Correntropy-based Fusion Extreme Learning Machine (CF-ELM) is proposed.

zh-cn	针对多数分类方法中表示级特征融合不充分的问题，该文将核映射与系数加权相结合，提出了能够有效融合表示级特征的融合极限学习机(F-ELM)。
en-us	Considering the problem that the fusion of representation level features is insufficient in most classification methods, the kernel mapping and coefficient weighting are combined to propose a Fusion Extreme Learning Machine (F-ELM), which can effectively fuse the representation level features.

zh-cn	在此基础上，用相关熵损失函数替代均方误差(MSE)损失函数，推导出用于训练F-ELM各层权重矩阵的相关熵循环更新公式，以增强其分类能力与鲁棒性。
en-us	On this basis, the Mean Square Error (MSE) loss function isreplaced by the correntropy-based loss function. A correntropy-based cycle update formula for training theweight matrices of the F-ELM is derived to enhance classification ability and robustness.

zh-cn	为了检验方法的可行性，该文分别在数据库Caltech 101, MSRC和15 Scene上进行实验。
en-us	Extensive experimentsare performed on Caltech 101, MSRC and 15 Scene datasets respectively.

zh-cn	实验结果证明，该文所提CF-ELM能够在原有基础上进一步融合表示级特征，从而提高分类正确率。
en-us	The experimental results show thatCF-ELM can further fuse the representation level features to improve the classification accuracy.

zh-cn	提高时频分辨率对多分量非平稳信号的分析与重建具有至关重要的作用。
en-us	The improvement of time-frequency resolution plays a crucial role in the analysis and reconstructionof multi-component non-stationary signals.

zh-cn	传统的时频分析方法由于窗口固定，分析频率变化较快的信号时存在时频聚集性不高的问题，无法自适应分辨多分量信号。
en-us	For traditional time-frequency analysis methods with fixed window, the time-frequency concentration is low and hardly to distinguish the multi-component signals with fast-varying frequencies.

zh-cn	该文针对频率快速变化信号，利用信号的局部信息特征，提出一种自适应的时频同步压缩变换算法。
en-us	In this paper, by adopting the local information of the signal, an adaptive synchro squeezing transform is proposed for the signals with fast-varying frequencies.

zh-cn	该方法有效提升了已有同步压缩变换时频分辨率，特别适用于频率接近且快速变换的多分量信号。
en-us	The proposed method is with high time-frequency resolution, superior to existing synchrosqueezing methods, and particularly suitable for multi-component signals with close and fast-varying frequencies.

zh-cn	同时，利用可分性条件，该文提出利用局部瑞利熵值对自适应窗口参数进行估计。
en-us	Meanwhile, by using the separability condition, the adaptive window parameters are estimated by local Rényi entropy.

zh-cn	最后，通过对合成信号和实测信号分析，证明了所提方法的可行性，对分析和重建复杂非平稳信号具有重要意义。
en-us	Finally, experiments on synthetic and real signals demonstrate the correctness of the proposed method, which is suitable to analyze and recover complex non-stationary signals.

zh-cn	基于粗糙集理论的粗糙熵阈值法不需要图像之外的先验信息。
en-us	Image thresholding methods based on the rough entropy segment the images without prior information except the images.

zh-cn	粗糙熵阈值法需要解决两个问题，一是图像信息不完整性的度量，二是图像的粒化。
en-us	There are two problems to be considered in the rough entropy based thresholding methods, i.e., measuring the incompleteness of knowledge about an image and granulating the image.

zh-cn	该文基于倒数信息熵，提出一种倒数粗糙熵用来度量图像中信息的不完整性。
en-us	In this paper, reciprocal rough entropy, a new form of rough entropy, is defined to measure the incompleteness of the image information.

zh-cn	为了更好地对图像进行粒化，采用一种基于均匀性直方图的粒子选取方式。
en-us	In order to granulate the image effectively, a granule size selectionmethod based on the homogeneity histogram is employed.

zh-cn	该文提出的倒数粗糙熵表述简洁，计算简单。
en-us	The proposed reciprocal rough entropy is simple in expression and calculation.

zh-cn	实验验证了该文方法的有效性。
en-us	The experimental results verify the effectiveness of the proposed algorithm.

zh-cn	为了降低计算任务的时延和系统的成本，移动边缘计算(MEC)被用于车辆网络，以进一步改善车辆服务。
en-us	In order to reduce the delay of computing tasks and the total cost of the system, Mobile EedgeComputing (MEC) technology is applied to vehicular networks to improve further the service quality.

zh-cn	该文在考虑计算资源的情况下对车辆网络时延问题进行研究，提出一种多平台卸载智能资源分配算法，对计算资源进行分配，以提高下一代车辆网络的性能。
en-us	Thedelay problem of vehicular networks is studied with the consideration of computing resources. In order to improve the performance of the next generation vehicular networks, a multi-platform offloading intelligent resource allocation algorithm is proposed to allocate the computing resources.

zh-cn	该算法首先使用K临近(KNN)算法对计算任务的卸载平台(云计算、移动边缘计算、本地计算)进行选择，然后在考虑非本地计算资源分配和系统复杂性的情况下，使用强化学习方法，以有效解决使用移动边缘计算的车辆网络中的资源分配问题。
en-us	In the proposed algorithm, the K-Nearest Neighbor (KNN) algorithm is used to select the offloading platform (i.e., cloud computing, mobile edgecomputing, local computing) for computing tasks. For the computing resource allocation problem and system complexity in non-local computing, reinforcement learning is used to solve the optimization problem of resource allocation in vehicular networks using the mobile edge computing technology.

zh-cn	仿真结果表明，与任务全部卸载到本地或MEC服务器等基准算法相比，提出的多平台卸载智能资源分配算法实现了时延成本的显著降低，平均可节省系统总成本达80%。
en-us	Simulation results demonstratethat compared with the baseline algorithms (i.e., all tasks offload to the local or MEC server), the proposedmulti-platform offloading intelligent resource allocation algorithm achieves a significant reduction in latencycost, and the average system cost can be saved by 80%.

zh-cn	原模图低密度奇偶校验(P-LDPC)码已经广泛应用于各种通信系统，为了使其能够满足不同应用场景下系统对纠错性能、硬件资源损耗以及功耗等方面的要求，需要对P-LDPC码进行进一步的设计优化。
en-us	Protograph Low Density Parity Check (P-LDPC) code is widely used in various communicationsystems. In order to meet the requirements of error correction performance, hardware resource loss and power consumption in different application scenarios, further design optimization of P-LDPC codes is needed.

zh-cn	该文主要从标准信道环境下基于双P-LDPC(DP-LDPC)码的联合信源信道编码(JSCC)系统的属性研究、系统设计优化以及性能表现等角度入手，对近些年出现的针对该系统环境所做的优化分析工作进行了综述。
en-us	This paper focuses on the properties of Joint Source-Channel Coding (JSCC) system based on Double P-LDPC (DP-LDPC) codes in standard channel environment, the optimization of code design and performance behavior, etc.The design and optimization for the system environment in recent years is summarized.

zh-cn	表明进行的优化工作属实显著地改善了系统性能，为面向工业互联网(II)的LDPC码的研究工作提供些许思路。
en-us	It shows that the design optimization work has significantly improved the system performance, which provides some ideas for the research of Industrial Internet (II)-oriented LDPC code.

zh-cn	最后，该文对未来的研究工作进行了展望，为感兴趣的研究学者提供参考以继续推进。
en-us	Finally, the future research work is discussed for thereference and promotion of interested scholars.

zh-cn	毫米波雷达具备全天候复杂环境下的工作能力，在汽车雷达、智能机器人等方面有广泛的应用。
en-us	The millimeter wave radar is robust against various environments such as rain, fog, snow. It has huge potentials in applications such as automotive radars, intelligent robots.

zh-cn	同时，随着半导体技术的快速发展，硅基工艺晶体管的截止频率提升，硅基毫米波雷达成为研究热点，大量的工作从系统设计、电路设计等方面提高毫米波雷达的性能。
en-us	At the same time, the rapid development of silicon technology improves the cut off frequency of the transistor, which make it possible to implement low cost millimeter wave radar SoCs in silicon. Recently a lot of research is dedicated to improve theperformance of the silicon based millimeter wave SoCs from both system level and key building blocks level.

zh-cn	该文从系统和核心电路等方面对硅基毫米波雷达芯片的研究现状和发展趋势进行综述。
en-us	The current research status and future trends of the silicon based millimeter wave radar SoCs are reviewed inthis paper.

zh-cn	位置轨迹大数据的安全分享、发布需求离不开位置轨迹隐私保护技术支持。
en-us	Securely sharing and publishing location trajectory data relies on support of location privacy protection technology.

zh-cn	在差分隐私出现之前，K-匿名及其衍生模型为位置轨迹隐私保护提供了一种量化评估的手段，但其安全性严重依赖于攻击者所掌握的背景知识，当有新的攻击出现时模型无法提供完善的隐私保护。
en-us	Prior to the advent of differential privacy, K-anonymity and its derived models provide ameans of quantitative assessment of location-trajectory privacy protection. However, its security relies heavily on the background knowledge of the attacker, and the model can not provide perfect privacy protection when a new attack occurs.

zh-cn	差分隐私技术的出现有效地弥补了上述问题，越来越多地应用于轨迹数据隐私发布领域中。
en-us	Differential privacy effectively compensates for the above problems, and it proves the level of privacy protection based on rigorous mathematical theory and is increasingly used in the field of trajectory data privacy publishing.

zh-cn	该文对基于差分隐私理论的轨迹隐私保护技术进行了研究与分析，重点介绍了差分隐私模型下位置直方图、轨迹直方图等空间统计数据发布方法，差分隐私模型下轨迹数据集发布方法，以及连续轨迹实时发布隐私保护模型。
en-us	Therefore, the trajectory privacy protection technology based on differential privacy theory is studied and analyzed, and the methods of spatial statistical data publishing are introduced such as location histogram and trajectory histogram, the method of trajectory data set publishing and the model of continuous real-time location release privacy protection.

zh-cn	与此同时，在对现有方法对比分析的基础上，提出了未来的重点发展方向。
en-us	At the same time, the existing methods are comparedand analyzed, the key development directions are put forward in the future.

zh-cn	该文提出一种基于多通道调频连续波(FMCW)毫米波雷达的微动手势识别方法，并给出一种微动手势特征提取的最优雷达参数设计准则。
en-us	A micro-motion gesture recognition method based on multi-channel Frequency Modulated Continuous Wave (FMCW) millimeter wave radar is proposed, and an optimal radar parameter design criterion for feature extraction of micro-motion gestures is presented.

zh-cn	通过对手部反射的雷达回波进行时频分析处理，估计目标的距离多普勒谱、距离谱、多普勒谱和水平方向角度谱。
en-us	The time-frequency analysis process is performed on the radar echo reflected by the hand, and the range Doppler spectrum, the range spectrum, the Doppler spectrum and the horizontal direction angle spectrum of the target are estimated.

zh-cn	设计固定帧时间长度拼接的距离-多普勒-时间图特征，与距离-时间特征、多普勒-时间特征、水平方向角度-时间图特征和三者联合特征等，分别对7类微动手势进行表征。
en-us	Then the range-Doppler-time-map feature is designed, range-time-map feature, Doppler-time-map feature, horizontal-angle-time-map feature,and three-joint feature with fixed frame time length are used to characterize the 7 classes micro-motiongestures, respectively.

zh-cn	根据手势运动过程振幅和速度差异，进行手势特征捕获和对齐。
en-us	And these gesture features are captured and aligned according to the difference in amplitude and speed of the gesture motion process.

zh-cn	利用仅有5层的轻量化卷积神经网络对微动手势特征进行分类。
en-us	Then a five-layer lightweight convolutional neural networkis designed to classify the gesture features.

zh-cn	实验结果表明，相较其他特征，设计的距离-多普勒-时间图特征能够更为准确地表征微动手势，且对未经训练的测试对象具有更好的泛化能力。
en-us	The experimental results show that, the range-Doppler-time-mapfeature designed in this paper characterizes the micro-motion gesture more accurately and has a better generalization ability for untrained test objects compared with other features.

zh-cn	海量的生物医学图像蕴含着丰富的信息，模式识别算法能够从中挖掘规律并指导生物医学基础研究和临床应用。
en-us	Pattern recognition algorithms can discover valuable information from mass data of biomedical images as guide for basic research and clinical application.

zh-cn	近年来，模式识别和机器学习理论和实践不断完善，尤其是深度学习的广泛研究和应用，促使人工智能、模式识别与生物医学的交叉研究成为了当前的前沿热点，相关的生物医学图像研究有了突破式的进展。
en-us	In recent years, with improvement of the theory and practice of pattern recognition and machine learning, especially the appearance and application of deep learning, the crossing researches among artificial intelligence, pattern recognition, and biomedicine become a hotspot, and achieve many breakthrough successes in related fields.

zh-cn	该文首先简述模式识别的常用算法，然后总结了这些算法应用于荧光显微图像、组织病理图像、医疗影像等多种图像中的挑战性和国内外研究现状，最后对几个潜在研究方向进行了分析和展望。
en-us	This review introduces briefly the common framework and algorithms of image pattern recognition, summarizes the applications of these algorithms to biomedical image analysis including fluorescence microscopic images, histopathological images, and medical radiological images, and finally analyzes and prospect several potential research directions.

zh-cn	海量高维度的过程测量信息给传统的故障诊断算法带来极大的计算复杂度和建模复杂度，且传统诊断算法存在难以利用高阶量进行在线估计的不足。
en-us	The massive high-dimensional measurements accumulated by distributed control systems bringgreat computational and modeling complexity to the traditional fault diagnosis algorithms, which fail to take advantage of the higher-order information for online estimation.

zh-cn	鉴于深度学习技术强大的数据表示学习和分析能力，基于深度学习的故障诊断引起了工业界和学术界的广泛关注，并促使智能过程控制更加自动化和有效。
en-us	In view of its powerful ability of representation learning, deep learning based fault diagnosis is extensively studied, both in academia and in industry, making intelligent process control more automated and effective.

zh-cn	该文从方法上将基于深度学习的故障诊断技术分为：基于栈式自编码的故障诊断方法、基于深度置信网络的故障诊断方法、基于卷积神经网络的故障诊断方法及基于循环神经网络的故障诊断方法4类，分别进行了回顾和总结，
en-us	In this paper, deep learning based fault diagnosis is reviewed and summarized as four parts, i.e., stacked auto-encoder based fault diagnosis, deep belief network based fault diagnosis, convolutional neural network based fault diagnosis, and recurrent neural network based fault diagnosis.

zh-cn	最后从数据预处理、深度网络设计和决策3个层面对这一领域进行展望，提出了“集成创新”、“数据+知识”和“多技术融合”等故障诊断思想，阐明基于深度学习技术进行复杂系统的故障诊断仍具有巨大潜力。
en-us	Furthermore, some necessity and potential trends, "integrated innovation","data + knowledge" and "information fusion", are discussed from the view of data preprocessing, network designand decision.

zh-cn	复杂电磁环境下，外辐射源雷达中多径杂波可能具备非平稳的跳变特性。
en-us	In the complex electromagnetic environment, multipath clutter in passive radar may be nonstationary and has jump characteristics.

zh-cn	该文针对这种跳变型非平稳杂波，结合辐射源信号的正交频分复用(OFDM)调制特性，提出一种基于信道分段平滑的杂波抑制方法。
en-us	In order to suppress this kind of non-stationary clutter, a clutter suppressionmethod is proposed based on channel segmentation and smoothing, which combines the Orthogonal FrequencyDivision Multiplexing (OFDM) modulation of the transmitting signal.

zh-cn	首先建立了跳变杂波的时域信号模型，然后结合OFDM信号结构将其变换到子载波域，接着在子载波域对各OFDM符号进行信道估计与分段平滑，最后利用该信道平滑值和对应段的参考信号抑制非平稳杂波。
en-us	First, the temporal domain signal modelof the jumping clutter is established. Then it is transformed into subcarrier-domain by using the OFDMstructure. After channel estimation of each OFDM symbol and smoothing the segmented channel estimation, the non-stationary clutter can be suppressed by the smoothed channel estimation and reference signal in each segment.

zh-cn	仿真和实测数据表明，该文方法能够有效抑制跳变型的非平稳杂波。
en-us	Simulation and experiment data show that the proposed method can effectively suppress the non-stationary clutter with jumping characteristic.

zh-cn	压缩感知(CS)理论是目前信息工程相关领域研究的前沿热点之一。
en-us	Compressed Sensing (CS) theory is one of the most active research fields in electronic informationengineering.

zh-cn	它打破了传统的奈奎斯特采样定理，相比于其要求的最小采样频率，CS理论证明了能够从更低数目的采样中以高概率完整地恢复原始信号，在保证信息特征不丢失的前提下节省了数据采集和处理的时间成本。
en-us	CS theory overcomes the limits dictated by Nyquist sampling theorem. Compared to the requiredminimum sampling quantity, CS proves that the original signal can be restored with high probability by fewermeasurements, which saves the time cost of data acquisition and processing without losing information features.

zh-cn	压缩感知理论本质上可以视为处理线性信号恢复问题的工具，因此在求解信号和图像的逆问题上有着显而易见的优势。
en-us	CS theory can essentially be regarded as a tool for dealing with linear signal recovery problems, so it hasobvious advantages in solving inverse problems of signals and images.

zh-cn	图像退化问题便是其中之一，恢复相应的高质量图像的过程即为图像优化。
en-us	Image degradation is one of them, andthe process of restoring high-quality images is image optimization.

zh-cn	为推动压缩感知理论的学术研究与实际应用，该文介绍了其基本原理与方法。
en-us	In order to promote the academic researchand practical application of CS theory, the basic principle of CS is introduced.

zh-cn	根据图像优化技术的现存研究工作，分别从去噪、去模糊和超分辨三大主流方面研究了基于CS理论的优化技术。
en-us	Based on the previous research, this paper studies on CS-based image optimization technology in three main aspects: denoising, deblurring and super resolution.

zh-cn	最后探讨了所面临的问题和挑战，分析了未来的发展趋势，为将来研究工作的展开提供借鉴与帮助。
en-us	Finally, the problems and challenges are discussed, and the current trends are analyzed toprovide reference and help for future work.

zh-cn	量子游走已经被提出可以用于瞬时地传输量子比特或多维量子态。
en-us	Quantum walks are raised for teleporting qubit or qudit.

zh-cn	根据量子游走的隐形传输模型，该文提出一种无需提前准备纠缠源的基于正则图上量子游走的仲裁量子签名算法。
en-us	Based on quantum walk teleportation, an arbitrated quantum signature scheme with quantum walks on regular graphs is suggested, in which the entanglement source does not need preparing ahead.

zh-cn	在初始化阶段，密钥是由量子密钥分发系统制备；
en-us	In the initial phase, the secret keys are generated viaquantum key distribution system.

zh-cn	在签名阶段，基于正则图上的量子游走隐形传输模型被用于转移信息副本密文从发送者到接收者。
en-us	In the signing phase, the signature for the transmitted message is created bythe signer. Teleportation of quantum walks on regular graphs is applied to teleporting encrypted message copyfrom the signer to the verifier.

zh-cn	具体地，发送者编码要签名信息的密文在硬币态上，通过两步正则图上的量子游走，可以自动地产生用于量子隐形传输必须的纠缠态。发送者和接收者对制备的纠缠态的测量为签名生成和签名验证的凭据。
en-us	Concretely, the sender encodes the ciphertext of message copy on coin state.Then two-step quantum walks are performed on the initial system state engendering the necessary entangled state for quantum teleportation, which can be the basis of signature generation and verification.

zh-cn	在验证阶段，在仲裁的辅助下，验证者依照发送者的经典结果核实签名的有效性。
en-us	In the verifying phase, the verifier verifies the validity of the completed signature under the aid of an arbitrator.

zh-cn	此外，随机数和认证的公共板被引进阻止接收方在接收真正信息序列之前的存在性伪造攻击和否认攻击。
en-us	Additionally, the applications of random number and public board deter the verifier’s existential forgery and repudiation attacks before the verifier accepts the true message.

zh-cn	安全性分析表明设计的算法满足签名者和接收者的不可抵赖以及任何人的不可伪造。
en-us	Analyses show that the suggested arbitrated quantumsignature algorithm satisfies the general two requirements, i.e., impossibility of disavowal from the signer andthe verifier and impossibility of forgery from anyone.

zh-cn	讨论表明方案不能抗击发送者的抵赖攻击，相应的建议被给出。
en-us	The discussions demonstrate that the scheme may notprevent disavowal attack from the signer and that the corresponding improvements are presented.

zh-cn	由于实验上已经证明量子游走可以在多个不同的物理系统上实现，因此该签名方案未来是可实现的。
en-us	The scheme may be realizable because quantum walks have experimentally proven to be implementable in different physical systems.

zh-cn	自动目标识别(ATR)是雷达信息处理领域的重要研究方向。
en-us	Automatic Target Recognition(ATR) is an important research area in the field of radar information processing.

zh-cn	由于卷积神经网络(CNN)无需进行特征工程，图像分类性能优越，因此在雷达自动目标识别领域研究中受到越来越多的关注。
en-us	Because the deep Convolution Neural Network(CNN) does not need to carry out feature engineeringand the performance of image classification is superior, it attracts more and more attention in the field of radarautomatic target recognition.

zh-cn	该文综合论述了CNN在雷达图像处理中的应用进展。
en-us	The application of CNN to radar image processing is reviewed in this paper.

zh-cn	首先介绍了雷达自动目标识别相关知识，包括雷达图像的特性，并指出了传统的雷达自动目标识别方法局限性。
en-us	Firstly, the related knowledges including the characteristics of the radar image is introduced, and thelimitations of traditional radar automatic target recognition methods are pointed out.

zh-cn	给出了CNN卷积神经网络原理、组成和在计算机视觉领域的发展历程。
en-us	The principle,composition, development of CNN and the field of computer vision are introduced.

zh-cn	然后着重介绍了CNN在雷达自动目标识别中的研究现状，其中详细介绍了合成孔径雷达(SAR)图像目标的检测与识别方法。
en-us	Then, the research status ofCNN in radar automatic target recognition is provided. The detection and recognition method of SAR imageare presented in detail.

zh-cn	接下来对雷达自动目标识别面临的挑战进行了深入分析。
en-us	The challenge of radar automatic target recognition is analyzed.

zh-cn	最后对CNN新理论、新模型，以及雷达新成像技术和未来复杂环境下的应用进行了展望。
en-us	Finally, the new theoryand model of convolution neural network, the new imaging technology of radar and the application to complexenvironments in the future are prospected.

zh-cn	昆虫雷达是观测昆虫迁飞最有效的工具。
en-us	Insect radar is the most effective tool for insect migration observation.

zh-cn	研究昆虫的雷达散射截面积(RCS)特性对于昆虫雷达目标识别有着重要意义。
en-us	In order to realize target recognition of insect radar, it is important to study the RCS characteristics of insects.

zh-cn	该文将分析昆虫的静态RCS特性和动态RCS特性。
en-us	This paper will analyzethe static and dynamic Radar Cross Section (RCS) characteristics of insects.

zh-cn	首先，基于实测的X波段全极化昆虫RCS数据，分析昆虫的静态RCS特性，包括水平和垂直极化RCS随体重变化规律以及昆虫极化方向图随体重的变化规律。
en-us	Firstly, based on the measured X-band fully-polarimetric RCS data, the static RCS characteristics of insects are analyzed, including thevariations of horizontal and vertical polarization RCS with body weight respectively, and the variation of insectpolarization pattern with body weight.

zh-cn	其次，总结当前通过电磁仿真研究昆虫RCS特性所用到的介质和几何形状模型，并对比了水、脊髓、干皮肤和壳质与血淋巴混合物4种介质和等体型扁长椭球体、等质量扁长椭球体和三轴椭球体3种几何模型组成的12种介质模型，经过电磁仿真结果与实测数据相对比发现脊髓介质等质量扁长椭球体模型与实测昆虫RCS特性最接近。
en-us	Secondly, the dielectrics and geometric models currently used to studythe RCS characteristics of insects are summarized by electromagnetic simulation. Twelve dielectric models consisting of four dielectrics (including water, spinal cord, dry skin, and chitin and hemolymph mixture) and three geometric models (including equivalent size prolate spheroid, equivalent mass prolate spheroid and triaxial prolate spheroid) are compared, and it be found that the RCS characteristics of equivalent mass prolate spheroid are closest to that of the real insects.

zh-cn	然后，基于Ku波段高分辨昆虫雷达外场实测昆虫回波数据，分析了昆虫动态RCS的起伏特性，
en-us	Then, the fluctuation characteristics of insect dynamic RCS areanalyzed based on the insect echo data measured in field by a Ku-band high-resolution insect radar.

zh-cn	将实测昆虫动态RCS起伏数据与4种经典的RCS起伏分布模型χ2, Log-normal, Weibull和Gamma分布分别进行了拟合分析，
en-us	Themeasured insect dynamic RCS fluctuation data are fitted with four classical RCS fluctuation distribution models (χ2, Log-normal, Weibull and Gamma distribution), respectively.

zh-cn	从最小二乘拟合误差和拟合优度检验结果可以看出，相比于其他3种模型，Gamma分布可以较好地描述昆虫目标RCS起伏的统计特性。
en-us	It can be seen from the least square error of fitting and goodness of fit test that Gamma distribution gives the best description of the statistical characteristics of insect RCS fluctuations.

zh-cn	最后，综述了昆虫RCS特性在昆虫雷达测量昆虫朝向、体重等参数测量的应用。
en-us	Finally, the application of insect RCS characteristics to insectorientation, mass and body length measurements for insect radars is summarized.

zh-cn	为了提高理想格上格基的三角化算法的效率，该文通过研究理想格上的多项式结构提出了一个理想格上格基的快速三角化算法，其时间复杂度为O(n3log2B)，其中n是格基的维数，B是格基的无穷范数。
en-us	To improve the efficiency of the triangularization of ideal lattice basis, a fast algorithm for triangularizing an ideal lattice basis is proposed by studying the polynomial structure, which runs in timeO(n3log2B), where n is the dimension of the lattice, B is the infinity norm of lattice basis.

zh-cn	基于该算法，可以得到一个计算理想格上格基Smith标准型的确定算法，且其时间复杂度也比现有的算法要快。
en-us	Based on the algorithm, a deterministic algorithm for computing the Smith Normal Form (SNF) of ideal lattice is given,which has the same time complexity and thus is faster than any previously known algorithms.

zh-cn	更进一步，对于密码学中经常所使用的一类特殊的理想格，可以用更快的算法将三角化矩阵转化为格基的Hermite标准型。
en-us	Moreover, for aspecial class of ideal lattices, a method to transform such triangular bases into Hermite Normal Form (HNF)faster than previous algorithms will be present.

zh-cn	利用无损探测技术来获取地下目标的信息是当前研究的热点，探地雷达(GPR)作为一种重要的无损工具，已被广泛用于检测，定位和特征化地下目标。
en-us	Ground Penetrating Radar (GPR), as a non-destructive technology, has been widely used to detect, locate, and characterize subsurface objects. Example applications include underground utility mapping and bridge deck deterioration assessment.

zh-cn	然而，从GPR成像中探测掩埋物体并评估其位置既费时又费力。
en-us	However, manually interpreting the GPR scans to detect buried objectsand estimate their positions is time-consuming and labor-intensive.

zh-cn	因此，实现地下目标的自动化探测对实际应用是必要的。
en-us	Hence, the automatic detection of targets isnecessary for practical application.

zh-cn	为此，该文在综合分析地下目标回波特征的基础上，讨论了使用GPR评估目标位置的可行性，并回顾了国内外学者在GPR成像中对双曲线特征自动化检测的研究进展。
en-us	To this end, this paper discusses the feasibility of using GPR to estimate target positions, and reviews the progress made by domestic and international scholars on automatic hyperbolic signature detection in GPR scans.

zh-cn	该文还在国内外典型实例剖析的基础上，总结并比较了目标检测的处理方法。
en-us	Thereafter, this paper summarizes and compares the processing methods for target detection.

zh-cn	最后指出，未来的研究应集中于开发新的深度学习检测框架，用以自动检测和估计真实场景中的地下特征。
en-us	It is concluded that future research should focus on developing deep-learning based method toautomatically detect and estimate subsurface features for on-site applications.

zh-cn	边缘计算服务器的负载不均衡将严重影响服务能力，该文提出一种适用于边缘计算场景的任务调度策略(RQ-AIP)。
en-us	Unbalanced load on the edge computing server will seriously affect service capabilities, a task scheduling strategy Reinforced Q-learning-Automatic Intent Picking (RQ-AIP) for edge computing scenarios is proposed.

zh-cn	首先，根据服务器的负载分布情况衡量整个网络的负载均衡度，结合强化学习方法为任务匹配合适的边缘服务器，以满足传感器节点任务的资源差异化需求；
en-us	Firstly, the load balance of the entire network is measured based on the load distribution of theserver. By combining the reinforcement learning method, the appropriate edge server is matched for the task to meet the resource differentiation needs of sensor node tasks.

zh-cn	进而，构造任务时延和终端发射功率的映射关系来满足物理域的约束，结合终端用户社会属性，为任务不断地选择合适的中继终端，通过终端辅助调度的方式实现网络的负载均衡。
en-us	Then, a mapping relationship between task delayand terminal transmit power is constructed to satisfy the constraints of the physical domain. Combining the social attributes of terminal, the appropriate relay terminal is continuously selected for the task to achieve the load balancing of network by terminal-assisted scheduling.

zh-cn	仿真结果表明，所提出的策略与其他负载均衡策略相比能有效地缓解边缘服务器之间的负载和核心网的流量，降低任务处理时延。
en-us	Simulation results show that compared with otherload balancing strategies, the proposed strategy can effectively alleviate the load between the edge servers andthe traffic of the core network, reduce task processing latency.

zh-cn	在无线电监测和目标定位等应用中，接收信号经常会受到脉冲噪声和同频带干扰等复杂电磁环境的影响，传统的基于2阶统计量的信号处理方法往往不能正常工作，基于分数低阶统计量的信号处理方法也由于对信号噪声统计先验知识的依赖性而遇到困难。
en-us	In radio monitoring and target location applications, the received signals are often affected bycomplex electromagnetic environment, such as impulsive noise and cochannel interference. Traditional signal processing methods based on second-order statistics often fail to work properly. The signal processing methods based on fractional lower order statistics also encounter difficulties due to their dependence on prior knowledge of signals and noises.

zh-cn	近年来提出并受到信号处理领域普遍关注的相关熵和循环相关熵信号处理理论与方法，是解决复杂电磁环境下信号分析处理、参数估计、目标定位和其他应用问题的有效技术手段，有力促进了非高斯、非平稳信号处理理论方法和应用的发展。
en-us	In recent years, the theory and method of correntropy and cyclic correntropy signalprocessing, which are widely concerned in the field of signal processing, are put forward. They are effectivetechnical means to solve the problems of signal analysis and processing, parameter estimation, target locationand other applications to complex electromagnetic environment. They promote greatly the development of thetheory and application of non-Gaussian and non-stationary signal processing.

zh-cn	该文系统性地综述了相关熵和循环相关熵信号处理的基本理论和基本方法，包括相关熵与循环相关熵的起源背景、定义概念、性质特点，以及所包含的数学物理意义。
en-us	This paper reviews systematicallythe basic theory and methods of correntropy and cyclic correntropy signal processing, including the background,definition, properties and characteristics of correntropy and cyclic correntropy, as well as their mathematicaland physical meanings.

zh-cn	该文还介绍了相关熵与循环相关熵信号处理在多个领域的应用问题，希望对非高斯、非平稳统计信号处理的研究和应用有所裨益。
en-us	This paper introduces also the applications of correntropy and cyclic correntropy signal processing to many fields, hoping to benefit the research and application of non-Gaussian and non-stationary statistical signal processing.

zh-cn	针对非高斯背景下的弱信号检测问题，该文提出一种基于Sigmoid函数的信号检测(SFD)方法。
en-us	To solve the problem of weak signals detection in non-Gaussian background, a method based on Sigmoid function is proposed which is named Sigmoid Function Detector (SFD).

zh-cn	首先依据混合高斯模型对非高斯背景建模，在此基础上系统研究了参数k与SFD的检测性能以及检测特性的关系，确定了k的最佳的取值，并指出SFD在检测性能达到最优的同时也具有恒虚警特性。
en-us	Firstly, the non-Gaussianbackground is modeled as a mixed Gaussian model. Based on this, the relationship between parameter k andSFD's performance and characteristics are systematically analyzed. It is pointed out that SFD will be aconstant false alarm detector when its detection performance is optimal.

zh-cn	其次通过固定k值得到了一种新的非参量检测方法，较传统的匹配滤波性能有明显提升。
en-us	Secondly, a new non-parametric detector is proposed via fixing the parameter k, which has significant improvement over matched filter.

zh-cn	最后进行仿真分析验证了SFD的有效性和优越性。
en-us	Finally, simulation analysis is carried out to verify the effectiveness and superiority of SFD.

zh-cn	为了更好增强图像中的有用信息，改善图像视觉效果，该文提出了一种基于非局部多尺度分数阶微分图像增强算子(NMFD)。
en-us	In order to enhance the useful information in the image and improve the visual effect of the image, a Non-local Multi-scale Fractional Differential(NMFD) image enhancement operator is proposed.

zh-cn	该算子首先将图像分成若干块子图像，计算每一块子图像的边缘强度系数、熵值和粗糙度等细节特征,将得到的特征数据在全局图像范围进行统一尺度的归一化，
en-us	The operator divides the image into several sub-images and calculates the edge intensity coefficient, entropy value and roughness of each sub-image, and the obtained feature data are normalized in a unified scale in the global image range.

zh-cn	然后对这些归一化的数据进行加权求和作为图像的非局部特征值，最后利用指数函数建立图像细节特征和分数阶微分算子阶次之间的非线性量化关系，在不同的图像子块区域，确定不同尺度的分数阶微分阶次，实现图像的非局部多尺度增强。
en-us	Then, the normalized data are weighted to be the non-local eigenvalues of the image. Finally, an exponential function is used to establish the non-linear quantization relationship between image detail features and the value of fractional order. Thus, the fractional order of different scales can be determined in differentimage sub-block regions, so that the non-local multi-scale image enhancement model is realized.

zh-cn	非正交多址接入(NOMA)技术允许多个发送方共用同一个资源块，接收方通过连续干扰消除(SIC)解码出不同发送方的信息。
en-us	Non-Orthogonal Multiple Access (NOMA) serves multiple transmitters using the same resource block, and the receiver decodes the information from different transmitters through Successive Interference Cancellation (SIC).

zh-cn	然而，目前针对NOMA系统的研究大多基于理想SIC的假设，而没有考虑非理想SIC对系统性能带来的影响。
en-us	However, most of the researches on NOMA systems are based on perfect SIC assumption,in which the impact of imperfect SIC on NOMA system is not considered.

zh-cn	针对此问题，该文在非理想SIC的假设下，针对单小区上行NOMA系统提出一套性能分析框架。
en-us	Focusing on this problem, a framework is provided to analyze the performance of single-cell uplink NOMA system under the assumption of imperfect SIC.

zh-cn	首先，采用二项式点过程(BPP)对上行NOMA系统中基站和用户设备的空间分布进行建模。
en-us	Firstly, the Binomial Point Process (BPP) is used to model the spatial distribution of basestation and user equipment in uplink NOMA system.

zh-cn	基于此模型，采用基于大尺度衰落的干扰消除顺序，对干扰消除的误差情况进行分析。
en-us	Based on this model, the interference cancellation orderwhich is based on large-scale fading is adopted, and then the error of interference cancellation is analyzed.

zh-cn	进一步，基于随机几何理论和次序统计理论，推导出距基站由近至远次序为k的用户设备的覆盖概率，并采用平均覆盖概率衡量整个NOMA传输系统的可靠性。
en-us	Then, based on stochastic geometry theory and order statistics theory, the expression of coverage probability ofuser equipment which is at rank k in terms of the distance from the base station is derived, besides, the averagecoverage probability is adopted to reflect the reliability of NOMA transmission system.

zh-cn	理论和仿真结果分析了远近次序、基站半径和发射功率等系统参数对传输可靠性的影响，并验证了理论推导的准确性。
en-us	The analytical and simulation results show the influence of system parameters such as distance order and base station radius on transmission reliability. Also, the validity of theoretical deduction is verified.

zh-cn	在采用相位干涉测角的分布式阵列雷达系统中，系统阵面相位中心位置误差和相位误差对测角精度影响很大，且阵面相位中心位置与物理中心位置通常不一致，因此需要对其进行精细标准补偿。
en-us	In the system of distributed radar array system using phase interference angle measurement, the phase center coordinate error of arrays and the phase difference error have relatively large influence on the angle measurement. The phase center position is often inconsistent with physical center position. Thus it is necessary to compensate these errors precisely.

zh-cn	传统的雷达系统误差校正方法通常采用远场辐射源来对雷达进行校正，但是对于单元间距很大的分布式阵列空间目标监视雷达而言，要实现远场辐射校准往往很难。
en-us	Far field radiation sources are often used to calibrate radar intraditional calibration methods. However, it is usually hard to achieve far field radiation sources for distributed radar array with large space between units surveilling space targets.

zh-cn	该文提出一种利用多弧段的精轨卫星精密星历对阵面相位中心位置误差引起的相位误差进行白化，然后搜索相位中心坐标和相位差使匹配方差最小的校正方法，无需使用特定仪器测量，且能很好地标定误差；
en-us	In this paper, a calibration method based on the precise ephemeris of refined orbit satellites without measuring with special instruments is proposed. The phase error caused by coordinate error can be whitened by the precise ephemeris of multiple arcs, and the coordinate and phase difference will be searched out by matching the minimum variance. This method can get the errors easily.

zh-cn	计算机仿真以及实测数据验证了使用该文校正方法后，测角精度得到了显著提升。
en-us	The simulation results and actual data verify that angle measurement accuracy gets largeimprovement by the method.

zh-cn	广义Pareto分布的复合高斯模型可以很好地描述高分辨低擦地角对海探测场景中海杂波的重拖尾特性，实现该杂波模型下双参数的有效估计对雷达检测性能具有重要意义。
en-us	The generalized Pareto distributed sea clutter model, known as one of the compound-Gaussianmodels, is able to describe heavy-tailed characteristic of sea clutter under high-resolution and low grazing angledetection scene efficiently, and the accuracy of parameter estimation under this condition heavily impactsradar’s detection property.

zh-cn	对此，该文提出一种双参数的组合双分位点(CBiP)估计方法。
en-us	In this paper, Combined BiPercentile (CBiP) estimator is proposed to estimate the parameters.

zh-cn	该估计方法基于低阶多项式方程的显式求根表达式，充分组合利用回波中的样本信息，旨在实现高精度的双参数估计过程。
en-us	The CBiP estimator is realized based on the explicit roots of low-order polynomial equations and full application of sample information in returns, which provides a highly-accurate parameter estimation process.

zh-cn	此外，考虑到实际雷达工作中存在岛礁、渔船等造成的功率异常大的野点样本时，不同于传统的矩估计、最大似然(ML)估计等方法，组合双分位点估计方法仍可保持估计性能的鲁棒性。
en-us	Besides, the CBiP estimator can maintain the robustness of estimation performance when outliers with extremely large power are existing in samples, while other estimators, including moment-based and Maximum Likelihood (ML) estimators, degrade extremely in estimation accuracy.

zh-cn	仿真及实测数据实验表明，在纯杂波环境中，组合双分位点估计方法可以实现与最大似然估计方法近似的估计精度，若存在异常样本，组合双分位点估计方法的估计性能优于上述几种传统估计方法。
en-us	Without outliers in samples, the combined bipercentile estimator shows similar accuracy with the ML estimator. With outliers, the combined percentile estimator is the only method with robustness in performance, compared with other estimators afore mentioned.

zh-cn	机器对机器(M2M)通信和设备到设备(D2D)通信都是5G中的关键技术。
en-us	Machine-to-Machine (M2M) and Device-to-Device (D2D) communications are both key technologiesin the Fifth Generation (5G) mobile communication systems.

zh-cn	而M2M通信特别需要考虑提高设备的能量效率(EE)以延长设备的生存周期。
en-us	In M2M communications, the Energy Efficiency(EE) especially needs to be improved to extend the life cycle of the M2M equipment.

zh-cn	该文将M2M技术与D2D技术相结合，考虑M2M设备使用D2D技术进行通信，同时M2M设备复用蜂窝网络中的人对人(H2H)通信的频谱资源。
en-us	In this paper, the M2Mand D2D technologies are combined and the D2D technology is used to realize M2M transmission. At the same time, M2M users are allowed to reuse spectrum resources with Human-to-Human (H2H) devices in the cellular networks.

zh-cn	为了同时保证两种系统的服务质量(QoS)需求，建立了最大化M2M的能量效率，最大化H2H系统容量和，以及最小化M2M系统对H2H系统干扰的多目标优化问题(MOOP)。
en-us	To guarantee the Quality of Service (QoS) of these two systems simultaneously, a Multi-Objective Optimization Problem (MOOP) is then formulated to maximize the sum throughput of H2H systems, and the sum EE of M2M systems and to minimize the interference from M2M communications to H2H networks.

zh-cn	为了解决该问题，采用惩罚函数的方法将二进制变量松弛约束，进而采用凹凸过程(CCCP)方法将非凸的单目标优化问题转化为凸优化问题，并最终通过加权切比雪夫算法得到原多目标优化问题的Pareto最优解。
en-us	To solve this MOOP, the penalty function method is firstly adopted to relax the original binary variables, and then the ConCave-Convex Procedure (CCCP) method is used to convert the non-convex single-objective problems into convex problems. Finally, the weighted Tchebyshev algorithm is utilized to obtain the Pareto solution ofthe original MOOP.

zh-cn	通过与传统的加权和算法进行比较，仿真结果证明了该算法的有效性。
en-us	By comparing with the traditional weighted sum method, the effectiveness of the proposed method is proved by simulation results.

zh-cn	针对传统无线传感网络(WSN)中资源部署与特定任务的耦合关系密切，造成较低的资源利用率，进而给资源提供者带来较低的收益问题，
en-us	The close relationship between resource deployment and specific tasks in traditional Wireless SensorNetwork(WSN) leads to low resource utilization and revenue.

zh-cn	根据虚拟传感网络请求(VSNR)的动态变化情况，该文提出虚拟传感网络(VSN)中基于半马尔科夫决策过程(SMDP)的资源分配策略。
en-us	According to the dynamic changes of Virtual Sensor Network Request(VSNR), the resource allocation strategy based on Semi-Markov Decision Process(SMDP) is proposed in Virtual Sensor Network(VSN).

zh-cn	定义VSN的状态集、行为集、状态转移概率，考虑传感网能量受限以及完成VSNR的时间，给出奖赏函数的表达式，并使用免模型强化学习算法求解特定状态下的行为，从而最大化网络资源提供者的长期收益。
en-us	Then, difining the state, action, and transition probability of the VSN, the expected reward is given by considering the energy and time to complete theVSNR, and the model-free reinforcement learning approach is used to maximize the long-term reward of the network resource provider.

zh-cn	数值结果表明，该文的资源分配策略能有效提高传感网资源提供者的收益。
en-us	The numerical results show that the resource allocation strategy of this paper can effectively improve the revenue of the sensor network resource providers.

zh-cn	面对多变的网络环境，现有的网络服务质量(QoS)映射中流聚集方法缺乏灵活性。
en-us	Facing changeable network environment, current Quality of Service (QoS)-aware flow aggregation scheme is lack of flexibility.

zh-cn	针对现有聚集方法的缺陷，该文提出一种动态聚集方法。
en-us	A dynamic flow aggregation method to overcome present problems is proposed.

zh-cn	使用增强粗糙K均值算法(ERKM)，按照网络流的QoS属性将网络流进行合理聚集，并且在网络处于高负载状况时，通过隶属度弹性聚集网络流，从而适应网络的变化，使得网络流聚集具有灵活性。
en-us	An Enhanced Rough K-Means (ERKM) algorithm is used to aggregate network flows properly. Importantly, it is able to adjust degree of membership to face ever-changing internet environment to make algorithm more flexible.

zh-cn	最后进行了网络流聚集实验和调度实验。
en-us	Internet scheduler experiment is carried out and a comparison is made with existing methods.

zh-cn	实验表明，相比于现有的方法，该方法能够更加弹性地应对不同网络状态，并且更好地保障网络流的QoS指标。
en-us	Experimental results suggest that proposed method has advantages not only on flexibility of aggregation, but also on assurance of QoS of Internet flows.

zh-cn	此外，还进一步验证了该文方法在不同网络环境下的QoS类聚集的一致性。
en-us	In addition, the consistency of QoS allocation under differentnetwork environment is investigated.

zh-cn	针对机动平台大斜视(HS) SAR存在的方位相位系数空变特性，该文提出一种基于多普勒重采样的改进谱分析(SPECAN)成像方法。
en-us	A modified SPECtral ANalysis (SPECAN) algorithm based on Doppler resampling is proposed to deal with the azimuth Space-Variant (SV) phase coefficients of the High Squint (HS) SAR data acquired from maneuvering platform.

zh-cn	首先，对于恒加速度HS SAR，给出了一种正交坐标斜距模型，可以处理传统方法中距离走动校正(RWC)引起的坐标旋转，解决了斜距模型与信号之间的失配问题。
en-us	Firstly, for HS SAR with constant acceleration, an orthogonal coordinate slant range model is presented, which can handle the coordinate rotation caused by the traditional method of Range WalkCorrection (RWC), and solve the mismatch between the range model and the signal after RWC.

zh-cn	在此基础上通过方位多普勒重采样校正相位系数的空变性，并且结合SPECAN技术实现方位向聚焦。
en-us	Then azimuth Doppler resampling is used to correct the SV phase coefficients. The focused image is achieved by SPECAN technique.

zh-cn	最后，通过仿真数据验证了该文算法的有效性，与参考算法相比该文方法聚焦质量有明显提升。
en-us	Finally, the proposed algorithm is validated by processing of simulated SAR data, and has significant improvement on focusing quality over the reference one.

zh-cn	针对小区内D2D多复用的通信资源块分配问题，该文以一个D2D用户分别复用2个和3个蜂窝为基础，提出基于非均衡求解的D2D多复用模式下的资源块分配方案。
en-us	In order to solve the problem of the Device to Device (D2D) multi-multiplex communication resource blocks allocation in a cell, the resource blocks allocation scheme about D2D multi-multiplex mode based on non-equilibrium solution is proposed after analyzing a D2D user to multiplex two and three cells respectively.

zh-cn	利用博弈论将资源块划分问题转化为求解被复用蜂窝用户收益联合最大问题。
en-us	The problem of resource blocks partitioning is transformed into the problem of solving the joint revenuemaximum value of the multiplexed cellular user by using game theory.

zh-cn	当纳什均衡解不存在时，分析目标函数特性，在可行域内求解“最优解”，保证对不均衡解处理的最优性；
en-us	When the Nash equilibrium solution does not exist, the objective function is analyzed, the "optimal solution" is solved in the feasible domain and the optimality of unbalanced solution processing is guaranteed.

zh-cn	对于均衡解存在的情况，将其取整后作为资源分配方案依据，保持其最优性。
en-us	When the equilibrium solution exists, it is rounded up and used as the basis of the resource allocation scheme to maintain its optimality.

zh-cn	通过理论分析及仿真实验表明该算法可以提升系统吞吐率，提高小区通信性能。
en-us	The theoretical analysis and simulation results show that the proposed algorithm enhances significantly the system performance and sum rate.

zh-cn	针对目前相控阵雷达网目标分配模型中约束条件构建不合理以及求解算法性能不高的问题，该文构建了基于服务质量(QoS)的雷达网目标分配模型，并提出基于强凹曲线逼近的模型求解算法。
en-us	The constraint conditions of target assignment model for phased array radar network areunreasonable and the performance of model solving algorithms are not good enough. To solve these problems, a target assignment model for radar network based on Quality of Service (QoS) is constructed in this paper, and a model solving algorithm based on strong concave function approximation is proposed.

zh-cn	通过QoS模型中资源空间、环境空间的建立准确描述雷达的资源限制以及雷达与目标的可见性约束；
en-us	Through the establishment of resource space and environment space in QoS model, radar resource constraints as well as the visibility constraints between radars and targets are described accurately.

zh-cn	通过库恩-塔克(KKT)条件推导出QoS模型最优解存在的充分条件，利用2维快速遍历方法逼近得到强凹函数曲线，最后对每个目标强凹曲线中的操作设定点进行逐步迭代得出优化分配方案。
en-us	Then, sufficient conditions for the optimal solution of QoS model are derived by Karush-Kuhn-Tucker(KKT) condition, and a two-dimensional fast traversal method is used to approximate the strong concave function curve. Finally, the optimal assignment scheme is obtained by the stepwise iteration of operation setting points on the strong concave curve of each target.

zh-cn	仿真结果表明：模型能够有效完成雷达网任务分配，且所提模型求解算法相比典型的智能搜索算法有更好的性能。
en-us	The simulation results show that the proposed model can effectively accomplish the target assignment ofradar network, and model solving algorithm has better performance than the typical intelligent search algorithms.

zh-cn	针对传统虚拟网节能映射中存在的节点映射分散、链路映射跳数多等问题，利用虚拟网请求的最小生成树拓扑将节点和链路同时映射，该文提出了基于滑动区域的粒子群虚拟网节能映射算法(EVNE_SRPS)。
en-us	Considering the problem of scattered node mapping and more hops of link mapping in the traditional virtual network energy-saving embedding, the node and link are mapped simultaneously by using the minimum spanning tree topology of the virtual network request, and Energy-saving Virtual Network Embedding algorithm based on Sliding Region Particle Swarm (EVNE_SRPS) is proposed.

zh-cn	当一个虚拟网请求到达时，生成其最小生成树拓扑，根节点为路径和最短的节点；
en-us	When a virtual network requestarrives, the minimum spanning tree topology is generated, the root node is the node with the shortest pathlength;

zh-cn	在底层网络随机选取多个区域作为粒子对象，并在区域中心映射虚拟网请求的最小生成树拓扑；
en-us	Multiple regions are randomly selected as the particle object in the substrate network, and the minimum spanning tree topology of the virtual network request is mapped in the regional center;

zh-cn	计算粒子的适应度，求出群体和个体最优解，并在最优解的指导下确定滑动方向、更新区域位置，经过迭代后得到虚拟网的映射方案。
en-us	The fitness of the particles is calculated. The optimal solution of the group and the individual is finded, and the sliding direction and the location of the update region under the guidance of the optimal solution are determined. Afterthe iteration, the mapping scheme of the virtual network is obtained.

zh-cn	实验结果表明，与现有算法相比，该算法降低了网络能耗，提高了运营商的收益成本比。
en-us	The experimental results show thatcompared with the existing algorithms, the network energy consumption is reduced, and the internet serviceproviders revenue to cost ratio is improved.

zh-cn	辐射源无调制信息的暂态信号能够表征辐射源发射机的无意调制特性，对该暂态信号分析可实现辐射源识别。
en-us	The transient signal without modulation information of the radiation source can characterize the unintentional modulation characteristics of the radiation source. The analysis of the transient signal can realize the radiation source identification.

zh-cn	而跳频电台在开机以及频率转换瞬间，都存在一个无信息传送的暂态调整时间，该暂态调整瞬间，电台发射的信号是无调制信息的非线性、非平稳和非高斯信号。
en-us	In the switching on and frequency conversion process of the frequency-hopping signal, there is a transient adjustment time without information transmission. In the transient adjustment moment, the signal transmitted by the transmitter is a non-linear, non-stationary and non-Gaussian signal without modulation information.

zh-cn	该暂态时间序列可反映跳频电台的器件特性，同时该序列往往呈现复杂的混沌特性。
en-us	This transient time series can reflect the device characteristics of thefrequency-hopping transmitter, and the sequence often exhibits complex chaotic characteristics.

zh-cn	因此，借鉴混沌时间序列分析的思想，同时利用暂态信号的Low-rank特性，该文提出了一种基于暂态信号混沌吸引子重构和Low-rank聚类的跳频信号电台分选算法。
en-us	Therefore, from the idea of chaotic time series analysis and Low-rank characteristics of transient signal, a frequency-hopping transmitter classification algorithm is proposed based on chaotic attractor reconstruction and Low-rank clustering.

zh-cn	实验测试表明：跳频电台的暂态信号时间序列属于混沌时间序列，同时实测多跳频信号的电台分选结果证明了Low-rank聚类算法在跳频电台分选上的可行性。
en-us	The experimental tests show that the transient signal of the frequency-hopping transmitter belongsto the chaotic time series. At the same time, the classification results of the frequency-hopping signals demonstrate the feasibility of the Low-rank clustering algorithm in frequency-hopping transmitter classification.

zh-cn	基于卷积神经网络的图像篡改检测算法利用卷积神经网络的学习能力可以实现不依赖于单一图像属性的图像篡改检测，弥补传统图像篡改检测方法依赖单一图像属性、适用度不高的缺陷。
en-us	The image forgery detection algorithm based on convolutional neural network can implement theimage forgery detection that does not depend on a single image attribute by using the learning ability ofconvolutional neural network, and make up for the defect that the previous image forgery detection algorithmrelies on a single image attribute and has low applicability.

zh-cn	利用深层多神经元的单一网络结构的图像篡改检测算法虽然可以学习更高级的语义信息，但检测定位篡改区域效果并不理想。
en-us	Although the image forgery detection algorithmusing a single network structure of deep layers and multiple neurons can learn more advanced semanticinformation, the result of detecting and locating forgery regions is not ideal.

zh-cn	该文提出一种基于级联卷积神经网络的图像篡改检测算法，在卷积神经网络所展示出来的普遍特性的基础上进一步探究其深层次的特性，利用浅层稀神经元的级联网络结构弥补以往深层多神经元的单一网络结构在图像篡改检测中的缺陷。
en-us	In this paper, an image forgerydetection algorithm based on cascaded convolutional neural network is proposed. Based on the generalcharacteristics exhibited by convolutional neural network, and then the deeper characteristics are furtherexplored. The cascaded network structure of shallow layers and thin neurons figures out the defect of the singlenetwork structure of deep layers and multiple neurons in image forgery detection.

zh-cn	该文提出的检测算法由级联卷积神经网络和自适应筛选后处理两部分组成，级联卷积神经网络实现分级式的篡改区域定位，自适应筛选后处理对级联卷积神经网络的检测结果进行优化。
en-us	The proposed detectionalgorithm in this paper consists of two parts: the cascade convolutional neural network and the adaptivefiltering post-processing. The cascaded convolutional neural network realizes hierarchical forgery regions localization, and then the adaptive filtering post-processing further optimizes the detection result of the cascaded convolutional neural network.

zh-cn	通过实验对比，该文算法展示了较好的检测效果，且具有较高的鲁棒性。
en-us	Through experimental comparison, the proposed detection algorithmshows better detection results and has higher robustness.

zh-cn	雷达目标的后向散射对目标姿态与雷达视线的相对几何关系十分敏感，同一目标相对于雷达视线的姿态不同时，散射特性十分不同。
en-us	The backscattering of the radar targets is sensitive to the relative geometry between orientations ofthe targets and the radar line of sight. When the orientations of the same target are different from the radarline of sight, the scattering characteristics are quite different.

zh-cn	倾斜地表和倾斜建筑物等目标可能扭转后向散射回波的极化基，进而导致交叉极化分量过高，图像体散射成分过估计。
en-us	Targets such as inclined ground and inclinedbuildings may reverse the polarization base of the backscattered echo, which causes the cross-polarizationcomponent to be too high and the volume scattering component of the image is overestimated.

zh-cn	该文针对图像体散射成分过估计的现象，提出一种基于极化特征参数()和极化干涉相似性参数(PISP)的极化干涉分解方法。
en-us	In this paper, apolarimetric interferometric decomposition method based on polarimetric parameters () and PolarimetricInterferometric Similarity Parameters (PISP) is proposed to solve the overestimation problem.

zh-cn	该方法充分考虑了散射体在雷达视线方向上的散射多样性，对不同取向的倾斜地表和倾斜建筑物等目标产生的交叉极化分量进行更好的适配，得到更好的分解结果。
en-us	The method makes full use of the scattering diversity of the scatterer in the radar line of sight. The cross-polarization components generated by targets such as inclined grounds and inclined buildings with different orientations are better adapted to obtain better decomposition results.

zh-cn	最后，利用由中国科学院电子学研究所获取的机载C波段全极化干涉数据验证该方法在极化干涉分解中的有效性。
en-us	Finally, the effectiveness of the proposed method inpolarimetric interferometric decomposition is verified by the airborne C-band PolInSAR data obtained by the Institute of Electronics, Chinese Academy of Sciences.

zh-cn	实验结果表明，该改进算法可以有效、正确地区分地物散射特性。
en-us	The experimental results show that the proposedimproved algorithm can distinguish the scattering characteristics of terrain types effectively and correctly.

zh-cn	在网络功能虚拟化(NFV)环境中，针对服务功能链(SFC)部署时的可靠性问题，该文提出对备份虚拟网络功能选择、备份实例放置和服务功能链部署的联合优化方法。
en-us	In the Network Function Virtualization (NFV) environment, for the reliability problem of ServiceFunction Chain (SFC) deployment, a joint optimization method is proposed for backup Virtual NetworkFunction (VNF) selection, backup instance placement and service function chain deployment.

zh-cn	首先，定义一个单位开销可靠性提高值的虚拟网络功能衡量标准，改进备份虚拟网络功能选择方法；
en-us	Firstly, the method defines a virtual network function measurement standard named the unit cost reliability improvement value to improve the backup virtual network function selection method.

zh-cn	其次，采用联合备份的方式调整相邻备份实例之间的放置策略，以降低带宽资源开销；
en-us	Secondly, the joint backup mode is used to adjust the placement strategy between adjacent backup instances to reduce bandwidth resources overhead.

zh-cn	最后，将整个服务功能链可靠性保障的部署问题构建成整数线性规划模型，并提出一种基于最短路径的启发式算法，克服整数线性规划求解的复杂性。
en-us	Finally, the reliability-guarantee problem of the whole service function chain deployment is modeledas integer linear programming, and a heuristic algorithm based on the shortest path is proposed to overcomethe complexity of integer linear programming.

zh-cn	仿真结果表明，该方法在优先满足网络服务可靠性需求的同时，优化资源配置，提高了请求接受率。
en-us	The simulation results show that the method optimizes resourceallocation while prioritizing the network service reliability requirements, and improves the request acceptancerate.

zh-cn	声信号在空间中的传播具有较强的多径效应，在接收端往往以卷积形式相互叠加，尤其在海洋、剧场等强混响条件下，混合滤波器冲激响应的长度会显著增加，现有的频域卷积盲分离算法将失效。
en-us	The propagation of acoustic signal in space has a strong multipath effect, and the receiver often overlaps in the form of convolution. Especially in strong reverberation conditions such as ocean and theatre,where the length of impulse response of hybrid filter increases significantly.

zh-cn	为了消除长脉冲响应导致解混合模型失效的问题，该文对观测信号进行两次短时傅里叶变换(STFT)，
en-us	In order to eliminate the problemthat long impulse response leads to the failure of the frequency domain convolution blind separation algorithm,two Short-Time Fourier Transforms (STFT) are applied to the observed signal.

zh-cn	第1次STFT缩短了脉冲响应长度，第2次STFT将信号模型转化为瞬时盲分离，最终利用联合对角化(JD)技术估计出分离矩阵。
en-us	The first STFT shortens the length of the hybrid filter. The second STFT converts the signal model into instantaneous blind separation.Finally, the separation matrix is estimated by Joint Diagonalization (JD) technique.

zh-cn	与现有方法相比，所提方法解决了深度卷积混合下模型失效的问题，并且当源信号数较多或存在加性噪声时，可以得到更好的分离性能。
en-us	Compared with theexisting methods, this method solves the problem of model failure under deep convolution mixing, and canobtain better separation performance when the number of source signals is large or additive noise exists.

zh-cn	仿真结果验证了方法的有效性和性能优势。
en-us	The simulation results verify the effectiveness and performance advantages of the proposed method.

zh-cn	脉冲多普勒(PD)雷达能够检测目标多普勒频率和有效抑制杂波，该优势使得PD雷达得到了广泛应用。
en-us	It makes the Pulse Doppler (PD) radar widely applied that the PD radar has the obvious advantagesof detecting the Doppler frequency of the target and suppressing the clutter effectively.

zh-cn	但速度模糊的存在，往往对PD目标检测带来困难。
en-us	However, it is difficultfor the PD radar to detect the target due to velocity ambiguity.

zh-cn	该文紧密结合PD雷达体制的特点，在基于PD雷达参差重频模式下，提出一种基于全相位离散傅里叶变换(DFT)相位差频谱校正的最优余数封闭式鲁棒中国余数定理(CFRCRT)的多普勒频率估计算法。
en-us	Combining with the characteristic and stagger-period model of the PD radar, a Doppler frequency estimation method based on all phase DFT Closed-FormRobust Chinese Remainder Theorem (CFRCRT) with spectrum correction is proposed.

zh-cn	理论分析和仿真实验表明该文算法在测量精度和实时性能上可以满足工程上应用的需求。
en-us	Both theoretical analysis and simulation experiment demonstrate that the proposed method can satisfy the engineering demand in measure accuracy and real-time performance.

zh-cn	该文设计了一种基于3种反射型单元共享孔径的新型宽带低RCS超表面反射屏，与传统人工磁导体反射屏相比，引入一种相量干涉单元，利用新型相位对消关系完成了对传统人工磁导体(AMC)反射屏相位对消频带的拓展。
en-us	A novel wideband low RCS new super-surface array based on three reflective cell shared aperture is designed, which is composed of three kinds of Artificial Magnetic Conductor (AMC). Compared with thetraditional AMC array, the new array uses one of AMC as phasor interference unit. A new phase cancellation relation is presented, the new phase cancellation relation is used to extend the traditional array phase cancellation band.

zh-cn	通过将3种反射单元交错排布，合理设计阵列使其满足新型相位对消条件，并进一步优化单元结构参数，实现了阵列RCS缩减和缩减带宽的拓展。
en-us	Then, the parameters of the cell structure are further optimized to realize the reduction of RCS and the improvement of bandwidth. The physical sample is processed and tested.

zh-cn	在不同极化波垂直入射条件下，新型阵列均有较好的低散射性能。
en-us	It is shown that the new array can overcome the defect of the discontinuous operating band of the traditional array and has broadband low scattering characteristics.

zh-cn	仿真与实测结果表明：在5.2～13.9 GHz范围内后向RCS缩减量达到10 dB以上，相对带宽达到91%，为宽带低RCS反射屏设计提供了新的方法。
en-us	The results of simulationand field test show that: the backward reduction of RCS in the range of 5.2～13.9 GHz reaches more than 10dB, and the relative bandwidth reaches 91%.

zh-cn	针对复杂声学环境下，现有目标声源定位算法精度低的问题，该文提出了一种基于时频单元选择的双耳目标声源定位算法。
en-us	The performance of the existing target localization algorithms is not ideal in complex acousticenvironment. In order to improve this problem, a novel target binaural sound localization algorithm ispresented.

zh-cn	该算法首先利用双耳目标声源的频谱特征训练1个基于深度学习的时频单元选择模型，然后使用时频单元选择器从双耳输入信号中提取可靠的时频单元，减少非目标时频单元对定位精度的负面影响。
en-us	First, the algorithm uses binaural spectral features as input of a time-frequency units selector basedon deep learning. Then, to reduce the negative impact of the time-frequency unit belonging to noise on the localization accuracy, the selector is employed to select the reliable time-frequency units from binaural input sound signal.

zh-cn	同时，基于深度神经网络的定位系统将双耳空间线索映射到方位角的后验概率。
en-us	At the same time, a Deep Neural Network (DNN)-based localization system maps the binauralcues of each time-frequency unit to the azimuth posterior probability.

zh-cn	最后，依据与可靠时频单元相对应的后验概率完成目标语音的声源定位。
en-us	Finally, the target localization iscompleted according to the azimuth posterior probability belonging to the reliable time-frequency units.

zh-cn	实验结果表明，该算法在低信噪比和各种混响环境，特别是存在与目标声源类似的噪声环境下目标声源的定位精度得到明显改善，性能优于对比算法。
en-us	Experimental results show that the performance of the proposed algorithm is better than comparison algorithmsand achieves a significant improvement in target localization accuracy in low Signal-to-Noise Ratio(SNR) andvarious reverberation environments, especially when there is noise similar to the target sound source.

zh-cn	该文提出一种基于头脑风暴智能优化算法的BP神经网络模糊图像复原方法(OBSO-BP)。
en-us	A kind of restoration method of BP neural network fuzzy image based on Optimized Brain Storming intelligent Optimized(OBSO-BP) algorithm is proposed in this paper.

zh-cn	该方法在聚类和变异两方面优化了头脑风暴智能算法，利用头脑风暴优化算法易于解决多峰高维函数问题的特点，自动搜寻BP神经网络更佳的初始权值和阈值，以减少BP网络对其初始权值和阈值的敏感性，避免网络陷入局部最优解，增加网络的收敛速度，减小网络误差，提高图像还原质量。
en-us	With the method of brain stormingintelligent optimized algorithm which is optimized in both clustering and variation, issues of multi-peak high-dimensional function is easily solved. This method optimizes brain storming intelligence algorithm from twoaspects of clustering and mutation. This method makes use of the characteristics of brain storming optimizationalgorithm, which is easy to solve multi-peak and high-dimensional function problems, to automatically searchfor better initial weights and thresholds of BP neural network, thus reducing the sensitivity of BP network toits initial weights and thresholds, avoiding the network falling into local optimal solution, increasing theconvergence speed of the network and reducing the network error and improving the quality of imagerestoration.

zh-cn	该文采用20张不同的图像，对其模糊图像分别进行维纳滤波复原(Wiener)、基于头脑风暴算法的维纳滤波复原(Wiener-BSO)、BP神经网络复原以及基于头脑风暴算法的BP神经网络(BSO-BP)图像复原实验。
en-us	Twenty different images are adopted to the image restoration experiment of their fuzzy images withWiener filtering restoration(Wiener), Wiener filtering restoration based on optimized Brain Storming intelligentOptimized algorithm(Wiener-BSO), BP neural network restoration and BP neural network restoration based onoptimized Brain Storming intelligent Optimized algorithm(BSO-BP).

zh-cn	实验结果表明，该方法能够取得更好的图像复原效果。
en-us	Results show that a better effect of imagerestoration can be achieved with this method.

zh-cn	双基雷达具有隐蔽性高、抗干扰性能强等优点，在现代电子战中发挥重要作用。
en-us	Bistatic radar has the advantages of high concealment and strong anti-interference performance, and plays an important role in modern electronic warfare.

zh-cn	基于雷达关联成像原理，该文研究运动目标双基雷达关联成像问题。
en-us	Based on the principle of radar coincidence imaging, theproblem of bistatic radar coincidence imaging of moving targets is studied.

zh-cn	首先，针对采用均匀线性阵列作为收发天线的双基雷达系统，在发射随机频率调制信号条件下，分析运动目标雷达回波信号特点，建立双基雷达关联成像参数化稀疏表征模型；
en-us	Firstly, based on the bistatic radar system that uses uniform linear array as the transmitting and receiving antenna, the characteristics of the moving target radar echo signal are analyzed under the condition of transmitting random frequency modulation signal, and a bistatic radar coincidence imaging parametric sparse representation model is established.

zh-cn	其次，针对建立的参数化稀疏表征模型，提出一种基于稀疏贝叶斯学习的迭代关联成像算法。
en-us	Secondly, an iterative coincidence imaging algorithm based on sparse Bayesian learning is proposed for the parametric sparse representation model established.

zh-cn	该算法在建立贝叶斯模型基础上，通过贝叶斯推理，得到稀疏重构信号，从而实现对运动目标成像和运动参数的精确估计。
en-us	Based on the Bayesian model, the sparse reconstructed signal is obtained by Bayesian inference, so that the moving target imaging and accurate estimation of motion parameters can be achieved.

zh-cn	最后，通过仿真实验验证所提方法的有效性。
en-us	Finally, the effectiveness of the proposed method is verified by simulation experiments.

zh-cn	远距离(LoRa)散射通信(BC)不仅成本低、功耗低，而且通信距离远。
en-us	Long Range(LoRa) Backscattering Communication (BC) not only has the advantages of low cost andlow power consumption, but also has a long communication distance.

zh-cn	但现存散射方案的系统组成复杂，且无法应用于实际工程。
en-us	However, the existing LoRa BC scheme iscomplex and can not be applied to actual engineering.

zh-cn	为此该文提出一种新的LoRa散射通信方法，采用直接数字频率合成(DDS)技术产生频率线性变化的方波作为LoRa散射调制信号，并据此首次展示了基于MCU的LoRa散射通信系统原型样机。
en-us	For this purpose, a new LoRa BC method is proposed. ADirect Digital frequency Synthesis (DDS) technique is used to generate a square wave with a linear frequencyvariation as a LoRa scattering modulation signal. For the first time, the prototype of LoRa BC system based onMCU is demonstrated.

zh-cn	实验结果表明，该方法能够在相距208 m的基站和接收端之间的任意位置实现低功耗LoRa散射通信，且兼容现有的商用LoRa射频芯片组。
en-us	Experimental results show that design can successfully realize backscatter communication at any position between the station and the receiver which are 208 meters apart, while being compatible with commodity LoRa chipset.

zh-cn	此外，该方法还适用于专用集成电路(ASIC)设计，可使LoRa散射IC有更高的鲁棒性、更低的成本和功耗。
en-us	In addition, the method is also applicable to an Application Specific Integrated Circuit (ASIC) design, which enables the LoRa backscattering IC to have higher robustness, lower cost, and lower power consumption.

zh-cn	基于电子注纵横运动与电磁场纵横分量同时同步相互作用，该文从麦克斯韦方程和线性伏拉索夫方程出发，推导出将回旋共振和契伦科夫共振同时考虑在内的平面单栅注波互作用热色散方程。
en-us	Based on the beam wave synchronization interaction in transverse and longitudinal directions at thesame time and derived from Maxwell’s equation and linear Vlasov equation, the planar metallic grating beam-waveinteraction “hot” dispersion equation considering both cyclotron resonance and Cherenkov resonance is deduced.

zh-cn	在合理选择几何参数和电参数的基础上，通过热色散方程数值计算和分析，发现具有回旋共振增强效应下的注波互作用增益和频带都高于只有契伦科夫共振辐射下的结果。
en-us	Through the reasonable selection for geometric and electrical parameters, the numerical calculation and analysis of the “hot” dispersion equation show that the beam-wave interaction gain and frequency band with the cyclotron resonance enhancement effect are higher than those with only Cherenkov resonance radiation.

zh-cn	针对传统的微多普勒特征提取技术难以解决多目标分辨和微动参数估计这一问题，该文针对进动多目标，提出一种曲线交叠外推的微动多目标宽带分辨算法。
en-us	To solve the problem that the traditional micro-Doppler feature extraction technologies are generally hard to achieve resolution and parameter estimation of multi-target, a novel curve overlap extrapolation algorithm for wide-band resolution of micro-motion multi-target is proposed.

zh-cn	该算法以各个滤波数据点间的相对距离为准则，结合各曲线的历史斜率信息，对交叠点后的点迹进行外推估计，实现各个分量信号微动曲线的区分关联。
en-us	According to the relative distance between filtering data points and the historical slope information of each curve, the point trace behind the overlapping location can be extrapolated to realize data association of micro-motion curve for each signal component.

zh-cn	在此基础上，通过分析各曲线的微动特性差异实现多目标分辨。
en-us	On this basis, the multi-target resolution can be realized by analyzing the difference of micor-motion characteristics between each curve.

zh-cn	仿真实验验证了所提算法的有效性和稳定性。
en-us	Extensive simulation experiments are provided to illustrate the effectiveness and robustness of the proposed algorithm.

zh-cn	针对合成孔径雷达(SAR)成像中的稀疏特征增强问题，传统方法难以在精度与效率之间实现有效的平衡。
en-us	For the problem of sparse feature enhancement in Synthetic Aperture Radar (SAR) imagery, conventional methods are difficult to achieve a preferable balance between accuracy and efficiency.

zh-cn	该文提出基于复数交替方向多乘子方法(C-ADMM)，针对SAR稀疏特征增强建立增广的拉格朗日优化方程，并引入复数范数邻近算子，基于高斯-赛德尔思想进行对偶迭代运算，从而在复数回波数据域内对多种SAR模式的实测数据进行成像。
en-us	In this paper, a robust and efficient SAR imaging algorithm based on Complex Alternating Direction Method of Multipliers(C-ADMM) is proposed for general SAR imaging feature enhancement within complex raw data domain. The problem is firstly imposed by an augmented Lagrange function, and the complex -norm of the intended SAR image is jointly formulated within the C-ADMM framework. Then, the proximal mapping of the sparse feature is derived as a soft-thresholding operator. Further, an iterative processing procedure is designed according to Gaussian-Deidel principle, and the convergence of the proposed algorithm is analyzed.

zh-cn	实验部分首先通过仿真数据的相变图(PTD)验证C-ADMM算法对于复数数据的稀疏恢复性能，然后选取地面静止场景和地面运动目标的原始SAR图像和逆SAR图像实测数据，与凸优化(CVX)方法和贝叶斯压缩感知(BCS)方法进行对比试验，最后验证了该文所提算法在稀疏特征增强应用中的稳健性、高效性和通用性。
en-us	In the experiment, the performance of the proposed algorithm is firstly examined by the simulated data in terms of Phase Transition Diagram (PTD) under different under-sampling rate and degree of sparsity. Then, various raw SAR and Inverse SAR(ISAR) data, for both stationary ground scene and Ground Moving Target Imaging(CMTIm), are applied to further verifying the proposed C-ADMM, and comparisons with classical Convex(CVX) and Bayesian Compress Sensing(BCS) algorithms are performed, so that both the effectiveness and superiority of the C-ADMM algorithm can be verified.

zh-cn	前视合成孔径雷达(SAR)成像存在多普勒左右模糊的问题，需要利用空域资源进行解模糊处理。
en-us	Forward-looking Synthetic Aperture Radar (SAR) imaging has the problem of left-right Doppler ambiguity, so it is necessary to use spatial resources for ambiguity resolution.

zh-cn	限于无人机(UAV)的载重与尺寸，接收阵列通常较小，解多普勒模糊的空域波束形成能力不足。
en-us	Due to the weight and size ofUnmanned Aerial Vehicle (UAV), the receiving array is usually small, and the ability of spatial beam-formingfor Doppler ambiguity resolution is insufficient.

zh-cn	此外，前视SAR回波方位多普勒梯度小、带宽窄，使得接收带宽未被充分利用。
en-us	In addition, the small Doppler gradient and narrow bandwidth of forward-looking SAR echo make the receiving bandwidth underutilized.

zh-cn	基于以上问题，该文提出多普勒分集前视SAR成像方法。
en-us	Based on the above problems, aDoppler diversity Multiple Input Multiple Output (MIMO) forward-looking SAR imaging method is proposed.

zh-cn	该算法在前视SAR成像技术的基础上，利用多普勒分集MIMO技术，将多普勒窄带前视回波调制于不同多普勒中心以达到充分利用多普勒接收带宽的目的。
en-us	Based on the forward-looking SAR imaging technology, the narrow-band forward-looking Doppler echo is modulated to different Doppler centers by using Doppler diversity MIMO technology to make full use of the Doppler receiving bandwidth.

zh-cn	进而，可获得一个数倍于真实接收阵列孔径的虚拟接收阵列，极大地扩展了接收通道，有效地改善了前视SAR成像解多普勒左右模糊的性能。
en-us	Furthermore, a virtual receiving array with several times the aperture of the real receiving array can be obtained, which expands greatly the receiving channel and improves effectively the performance of forward-looking SAR imaging in de-Doppler left-right ambiguity.

zh-cn	惩罚优化问题常常用于在有噪声的条件下用较少的观测个数来求解线性逆问题。
en-us	Penalized programs are widely used to solve linear inverse problems in the presence of noise.

zh-cn	目前，对惩罚优化问题恢复误差的研究主要存在以下两点不足：一是对权重参数往往有要求；二是噪声的方向对误差的影响未知。
en-us	For now, the study of the performance of panelized programs has two disadvantages. First, the results have some limitations on the tradeoff parameters. Second, the effect of the direction of the noise is not clear.

zh-cn	针对这两个问题，该文研究了当存在有界噪声时，惩罚优化问题恢复的误差界。
en-us	This paper studies the performance of penalized programs when bounded noise is presented.

zh-cn	首先，该文从问题的几何出发，给定了一个几何条件。
en-us	A geometry condition which is used to study the noise-free problems and constrained problems is provided.

zh-cn	当这一条件满足时，就能够推导出惩罚优化问题恢复的一个明确的误差界。这个误差界保证了恢复的解是稳定的，也就是说，恢复误差不会超过观测误差的常数倍。
en-us	Under this condition, an explicit error bound which guarantees stable recovery (i.e., the recovery error is bounded by the observation noise up to some constant factor) is proposed.

zh-cn	同时，这一误差界对于任意的正权重参数都成立，并且揭示了恢复误差以及最优的权重选择与观测噪声的方向之间的联系。
en-us	First, the results provide an explicit bound for all positive tradeoff parameters. Second, the results clear the role of the direction of the observation noise playing in the recovery error, and reveal the relationship between the optimal tradeoff parameters and the noise direction.

zh-cn	进一步地，当观测矩阵是一个高斯矩阵时，依据这一几何条件可以得到高概率稳定恢复所需的观测次数。
en-us	Furthermore, if the sensing matrix has independent standard normal entries, the above geometry condition can be studied using Gaussian process theory, and the measurement number needed to guarantee stable recovery with high probability is obtained.

zh-cn	仿真实验证明了理论结果的正确性。
en-us	Simulations are provided to verify the theoreticalresults.

zh-cn	野值是一种异于总体数据的非高斯量测值，在实际传输中野值的加入常使信号出现厚尾特性。
en-us	Outliers are non-Gaussian measurement values far from the bulk of data. In practical transmission,the signals added with outlier often have the heavy-tailed property.

zh-cn	粒子滤波是基于贝叶斯框架的适用于非线性/非高斯系统的一种滤波方法。
en-us	Particle filter is based on the Bayesian framework and applicable to the non-linear and non-Gaussian system.

zh-cn	如果在量测噪声中存在野值会使粒子滤波的精度下降。
en-us	However, measurement noise with outlier degrades the performance of particle filter.

zh-cn	该文利用学生t分布建模量测噪声模型，结合变分贝叶斯(VB)递推方法设计一种新颖的边缘粒子滤波(MPF-VBM)，它在滤波同时可对量测噪声的包括均值在内的全部参数进行实时估计。
en-us	In this paper, student-t distribution is used to model the measurement noise, combined with Variational Bayes (VB), a novel particle filter Marginalized Particle Filter with VB Mean(MPF-VBM) is designed, which can estimate all parameters of t-distributed measurement distribution including mean parameter as well as state.

zh-cn	进一步，利用该估计算法，在量测噪声时变条件下研究了噪声关联的粒子滤波算法(MPF-VBM-COR)。
en-us	Further, particle filter with noise correlation (MPF-VBM-COR) at the same epoch which is applicable to time variant measurement noise is developed.

zh-cn	通过对典型单变量增长模型的仿真，验证了所提两种算法相比于已有算法在状态估计上具有更优越的鲁棒性。
en-us	For verifying the performances of the proposed algorithms, the simulations on the typical univariate non-stationary growth model are performed under the different noise conditions in detail. The outcomes show that the proposed two algorithms of MPF-VBM and MPF-VBM-COR (MPF-VBM-Corrlation) have the superior performances to the compared ones.

zh-cn	低重线性码在结合方案、认证码以及秘密共享方案等方面有着极其重要的作用，因而低重线性码的设计一直是线性码的重要研究方向。
en-us	Due to the wide applications in association schemes, authentication codes and secret sharing schemesetc., construction of the linear codes with a few weights is an important research topic.

zh-cn	该文通过选取恰当的定义集，构造了有限域(p为奇素数)上的一类四重和六重线性码，利用高斯和确定了码的重量分布，并编写Magma程序进行了验证。
en-us	A class of linear codes with four-weight and six-weight over finite field  (p is an odd prime) is constructed by a proper selection of the defining set. The explicit weight distribution is obtained using Gauss sums, and some examples from Magma program to illustrate the validity of the conclusions are provided.

zh-cn	结果表明，构造的码中存在关于Singleton界的几乎最佳码。
en-us	The results show that these codes include almost optimal codes with respect to Singleton bound.

zh-cn	针对大规模无线传感器网络(WSN)中节点难以定位的问题，该文提出一种基于改进牛顿法的分布式定位算法。
en-us	A distributed algorithm based on modified Newton method is proposed to solve the nodes localization problem in large scale Wireless Sensor Network(WSN).

zh-cn	该算法包括网络划分和分布式算法。
en-us	The algorithm includes network partitioning anddistributed algorithm.

zh-cn	首先，根据节点位置和节点之间直接相连的距离信息，将无线传感器网络划分为若干个重叠的子区域，并将子区域的定位问题归结为无约束优化问题，每个子区域可以独立计算；
en-us	Firstly, the network is divided into several overlapping subregions according to the nodes positions and the distance information between the sensors. The localization problem of subregions is formulated into an unconstrained optimization problem and each subregion can be calculated independently.

zh-cn	然后，使用分布式算法估计子区域中的节点位置并进行局部融合。
en-us	Then distributed algorithm is used to determine nodes positions in subregions and merge the subregions.

zh-cn	实验结果表明，与已有算法相比，该算法具有良好的扩展性，在大规模网络中定位精度更高，能满足大规模无线传感器网络中节点定位需求。
en-us	Simulation results indicate that the proposed algorithm is superior to the existing algorithms in terms ofaccuracy in large scale network, which can meet the needs of nodes localization in large scale network.

zh-cn	针对物理环境下旁路分析技术对电路中规模较小的硬件木马检出率低的问题，该文引入边界Fisher分析(MFA)方法，并提出一种基于压缩边界Fisher分析(CMFA)的硬件木马检测方法。
en-us	Against the problem of low detection rate to detect small hardware Trojan by side-channel inphysical environment, the Marginal Fisher Analysis (MFA) is introduced. On the basis, a hardware Trojandetection method based on Compression Marginal Fisher Analysis (CMFA) is proposed.

zh-cn	通过减小样本的同类近邻样本与该样本以及类中心之间距离和增大类中心的同类近邻样本与异类样本之间距离的方式，构建投影空间，发现原始功耗旁路信号中的差异特征，实现硬件木马检测。
en-us	The projection space is constructed by reducing the distance between the sample and its same neighbor samples, and the distance between the same neighbor samples and the center of the same kind, and increasing the distance between the same neighbor samples of the center and the sample in different kind. Thus, the difference in the original datais found without any assumptions about data distribution, and the detection of hardware Trojan is achieved.

zh-cn	AES加密电路中的硬件木马检测实验表明，该方法具有比已有检测方法更高的检测精度，能够检测出占原始电路规模0.04%的硬件木马。
en-us	The hardware Trojan detection experiment in AES encryption circuit shows that this method can effectively distinguish the statistical difference in side-channel signal between reference chip and Trojan chip and detect the hardware Trojan whose scale is 0.04% of the original circuit.

zh-cn	针对双频段低剖面椭圆波束天线的需求，该文提出了一种新型混合结构椭圆波束天线的设计技术。
en-us	In order to satisfy the requirement of elliptical beam antenna with low profile, a novel design technique of the hybrid-structural antenna with elliptical beam is proposed.

zh-cn	该混合结构由主、副反射面内环部分构成的椭圆波束环焦天线和外环部分构成的椭圆波束卡塞格伦天线组成。
en-us	The hybrid-structural antenna consists of the ring-focus elliptical antenna in inner-ring region and the Cassegrain elliptical antenna in outer-ring region.

zh-cn	该文描述了椭圆波束天线的设计思路、设计步骤和赋形计算公式，给出一个600 mm×1200 mm椭圆波束天线的设计实例，并进行了容差分析，该天线的工作频率覆盖了Ku/Ka双频段，效率达到56%以上，电压驻波比(VSWR)低于1.27，俯仰面第1旁瓣低于–12.2 dB，方位面第1旁瓣低于–14.6 dB。
en-us	The design method, procedure and shaping formula are presented in detail. A 600 mm×1200 mmreflector antenna is designed and its tolerance analysis is also given. The results show that the novel structural antenna can operate in Ku/Ka dual bands, antenna efficiency is greater than 56% and Voltage Standing WaveRatio (VSWR) is better than 1.27, and its side lobe levels in the EL and AZ planes are below –12.2 dB and–14.6 dB respectively.

zh-cn	商业软件Grasp和CST全波仿真的结果吻合很好，证明了该新颖结构和设计方法的有效性。
en-us	The simulated results of Grasp and CST software agree well, which verify the effectiveness of the design method.

zh-cn	人们常用Rohling教授提出的3种典型背景即均匀背景、多目标和杂波边缘来对检测器的恒虚警率(CFAR)性能进行衡量，
en-us	The performance of a Constant False Alarm Rate (CFAR) detector is often evaluated in three typical backgrounds - homogeneous environment, multiple targets situation and clutter edges described by Prof. Rohling.

zh-cn	但在现有的文献中缺乏秩和(RS)非参数检测器在杂波边缘中虚警概率的解析表达式，缺乏RS检测器与经典的参量型恒虚警率(CFAR)检测器在杂波边缘中虚警控制能力的比较，这在理论研究上是不完整、不全面的。
en-us	However, there is a lack of the analytic expression of the false alarm rate for the Rank Sum (RS)nonparametric detector at clutter boundaries, and lack of a comparison of the ability for the RS detector tocontrol the rise of the false alarm rate at clutter edges to that of the conventional parametric CFAR schemes;which is incomplete and imperfect for the detection theory of nonparametric detectors.

zh-cn	该文给出了RS检测器在杂波边缘中虚警概率的解析表达式，并比较了它与非相干积累单元平均(CA)，选大(GO)和有序统计(OS)恒虚警方法在杂波边缘中的虚警控制能力。
en-us	The analytic expression of the false alarm rate Pfa for the RS nonparametric detector at clutter edges is given in this paper, and the ability of the RS nonparametric detector to control the rise of the false alarm rate at clutter edges is compared to that of the Cell Averaing (CA) CFAR, the Greatest Of (GO) CFAR and the Ordered Statistic (OS) CFARwith incoherent integration.

zh-cn	可以看出，在强、弱杂波均为瑞利分布的情况下，RS检测器在杂波边缘的虚警控制能力处于非相干积累CA方法和非相干积累OS方法之间。
en-us	When both of the heavy and the weak clutters follow a Rayleigh distribution, it is shown that the rise of the false alarm rate for the RS detector at clutter edges lies between that of the CA-CFAR and that of the OS-CFAR with incoherent integration.

zh-cn	但是当长拖尾分布的非高斯杂波进入参考滑窗时，非相干积累CA, GO和OS参量型检测方法的虚警概率都产生了3个以上数量级的上升，且不能回到原始设定的虚警概率。
en-us	If a non-Gaussian distributed clutter with a longtail moves into the reference window, the rise of the CA-CFAR, the GO-CFAR and the OS-CFAR with incoherent integration reaches a peak of more than 3 orders of magnitude, and can not return to the original pre-designed Pfa.

zh-cn	而RS检测器显示出了非参量检测器的优势，即当杂波背景的分布类型发生变化后，它仍然可以保持虚警概率的恒定。
en-us	However, the RS nonparametric detector exhibits its inherent advantage in such situation, it can maintain a constant false alarm rate even the distribution form of clutter becomes a different one.

zh-cn	1维综合孔径微波辐射计通常会采用G矩阵模型法来实现亮温图像的重建。
en-us	The G-matrix model method is usually used to achieve the brightness temperature reconstruction forthe one-Dimensional (1-D) synthetic aperture microwave radiometer system.

zh-cn	对于1维辐射计系统，成像过程主要包含：辐射计仪器观测2维全视场的目标场景亮温，得到1维的可见度函数采样值，再通过对系统参数矩阵G求逆来实现目标场景的1维图像重建。
en-us	For the 1-D radiometer system,the imaging process mainly includes: the radiometer instrument observes the full field of view of the 2-D targetscene maps, and obtains the 1-D samples of the visibility, and then inverts the system parameter matrix G torealize the reconstruction of the 1-D image of the target scene.

zh-cn	由于1维辐射计系统的采样基线只分布在空间频率域的1个维度上，所以在图像重建过程中，需要实现矩阵G从2维到1维的转换。
en-us	Since the system sampling baselines are onlydistributed in the 1-D of the spatial frequency domain, in the process of the brightness temperature imagereconstruction, the matrix G needs to realize 2-D to 1-D conversion.

zh-cn	对此，该文提出了两种适用于1维综合孔径微波辐射计成像的G矩阵修正方法。
en-us	Therefore, two G-matrix modification methods are proposed to improve the imaging quality for the 1-D synthetic aperture microwave radiometer.

zh-cn	并针对目前已经完成的8单元辐射计地面样机系统和目前正在研制的10单元盐度计样机系统，通过理论分析和仿真实验，验证了G矩阵修正法对1维综合孔径微波辐射计成像结果的改善效果，以及对天线方向图旁瓣恶化所引入成像误差的有效抑制。
en-us	For the 8-element ground radiometer prototype system and the 10-element salinity radiometer system, theoretical analysis and simulation experiments have verified that the G-matrix modification methods proposed in this paper can effectively improve the imaging results, and can effectively suppress the imaging error caused by the side-lobed degradation of the antenna patterns.

zh-cn	为提高电子战中弹载雷达检测性能，该文提出基于纳什均衡的雷达波形设计方法。
en-us	In order to improve missile-borne radar detection performance in modern electronic warfare, a radar waveform design method based on Nash equilibrium is proposed.

zh-cn	首先建立电子战条件下雷达与干扰信号博弈模型，基于最大化信干噪比(SINR)准则，分别设计了雷达和干扰的波形策略；
en-us	Firstly, the radar and jammer game signalmodels are established in electronic warfare. Based on maximum Signal-to-Interference-plus-Noise Ratio(SINR), waveform strategies of radar and jammer are designed respectively.

zh-cn	然后通过数学推导论证了博弈纳什均衡解的存在性，设计了一种重复剔除严格劣势的多次迭代注水方法来实现纳什均衡；
en-us	Secondly, the existence of Nashequilibrium solution is demonstrated by mathematical derivation and verified in experimental simulation. Amultiple iterative water-filling method which repeatedly eliminates strict disadvantages is designed to achieveNash equilibrium.

zh-cn	通过二步注水法推导了非均衡的maxmin优化方案；
en-us	The maxmin scheme of disequilibrium game is deduced by two-step water-filling method.

zh-cn	最后通过仿真实验测试不同策略下雷达检测性能。
en-us	Finally, the radar detection performance of optimization strategies is tested by simulation experiments.

zh-cn	仿真结果证明，基于纳什均衡的雷达信号设计有助于提升博弈条件下雷达检测性能，对比未博弈时，雷达检测概率最高可提升12.02%，较maxmin策略最高可提升3.82%，证明所设计的纳什均衡策略更接近帕累托最优。
en-us	Simulation results reveal that the radar waveform design based on Nash equilibrium is beneficial to improve theradar detection performance under game conditions. Compared with no-game and maxmin strategies, the radardetection probability of Nash equilibrium strategy can be increased by 12.02% and 3.82%, respectively. It isproved that the Nash equilibrium strategy of this paper is closer to the Pareto optimality.

zh-cn	短脉冲非相参雷达(NCSP)的辐射源输出微波脉冲持续时间短，针对于高速运动目标而言，其脉冲持续时间内的目标运动可忽略不计，对回波信号不需进行专门的脉冲内运动补偿。
en-us	The microwave source of Non-Coherent Short Pulse (NCSP) radar transmits short pulse. Thus, for high velocity targets, the motion effect in the pulse duration can be neglected, and the echo signal does not need special motion compensation.

zh-cn	为了利用短脉冲非相参雷达信号进行逆合成孔径雷达成像，该文应用补偿相参处理的方法，去除辐射信号包络时间不确定性和初始相位的不确定性影响，
en-us	In order to use the NCSP radar signal for Inverse Synthetic Aperture Radar(ISAR) imaging, the compensation coherent processing method is applied to removing the uncertainty of the envelope time and the initial phase uncertainty.

zh-cn	在常规方法进行包络对齐和初相补偿后可利用距离-多普勒(RD)方法进行逆合成孔径雷达成像，仿真验证了补偿后信号成像的可行性。
en-us	Assuming that the echo is envelope-aligned and initially compensated by conventional methods, ISAR radar imaging can be performed using the Range-Doppler (RD)method, subsequently. The simulation verifies the feasibility of the compensation signal ISAR imaging.

zh-cn	然而，短脉冲非相参雷达的载频随机抖动的因素会导致距离-多普勒成像结果在多普勒维度产生随机调制的旁瓣，影响成像的质量。
en-us	However, the carrier-frequency random jitter factor of NCSP radar causes random-modulated sidelobes in theDoppler dimension, which affect imaging quality.

zh-cn	利用稀疏恢复技术，在成像空间中对目标的散射中心进行稀疏重构，利用正交匹配追踪(OMP)算法和稀疏贝叶斯学习(SBL)算法进行成像，从而实现了抑制非相参因素引起的成像旁瓣，改进了成像质量，通过仿真验证了方法可行性。
en-us	In this paper, the sparse recovery technique is used to performsparse reconstruction of the target scattering center in the imaging space. The Orthogonal Matching Pursuit(OMP) algorithm and the Sparse Bayesian Learning (SBL) algorithm are used as the recovery algorithm forimaging simulation experiments. The simulation results show that the sparse recovery technique can suppress the imaging sidelobes caused by non-coherence and improve the imaging quality.

zh-cn	为了适应新型通信技术发展，该文提出了一种高形状因子、可编程的微波光子滤波器集成芯片。
en-us	In order to accommodate the development of new communication technology, an integrated programmable microwave photonic filter with high shape-factor is proposed in this paper.

zh-cn	该滤波器芯片采用绝缘体上硅材料(SOI)，利用有限冲击响应原理，通过调节各支路上的热光调制器，可以实现带宽可调、形状因子大于0.55的滤波曲线，以及中心频率可调、带宽可调和滤波形状可变3种不同滤波功能。
en-us	This filter is based onSilicon-On-Insulator (SOI) and an eight-tap finite impulse response. By controlling the thermal heaters on theamplitude modulator and phase modulator of each tap, a rectangular filter with tunable bandwidth and highshape-factor greater than 0.55 is obtained. Furthermore, the tunability of central frequency, bandwidth andvariable pass-band shape can be also realized.

zh-cn	该滤波器尺寸小、重量轻、灵活性高，能适用于大带宽信号处理，并能提供一种理想的信道划分方式，可广泛应用于国防领域和5G网络中。
en-us	Small size, light weight and flexibility are advantages of the preposed filters, moreover, it can be applied to large bandwidth signal processing and an alternative method to part the channels. So it can be widely used in defense field and 5G networks.

zh-cn	针对机器类通信(MTC)应用场景的业务特征和服务质量(QoS)要求，该文考虑基于非正交多址(NOMA)的MTC中短分组/短编码块传输，探讨MTC中基于NOMA的高可靠低迟延无线资源优化问题。
en-us	For the service characteristics and Quality of Service (QoS) requirements of Machine TypeCommunications (MTC), short-packet/short-coded block transmission in MTC based on Non-OrthogonalMultiple Access (NOMA) is considered in this paper, and the resource optimization problem of the Ultra-Reliable and Low-Latency (URLL) in MTC based on NOMA is discussed.

zh-cn	首先，上行传输是基于NOMA的MTC通信的瓶颈，考虑无线蜂窝网络中支持NOMA和高可靠低迟延性能要求，该文建立了上行无线资源优化的系统模型；
en-us	Currently, uplink transmission is a bottleneck of MTC based on NOMA. Firstly, considering the performance requirements supporting NOMA and high reliability and low latency in wireless cellular networks, a system model for uplink wireless resource optimization is established.

zh-cn	然后，分析上行传输迟延，导出基于距离的链路可靠性函数；
en-us	Then, the uplink transmission delay is analyzed and the link reliability function based on distance is derived.

zh-cn	进一步，以迟延、可靠性和带宽为约束下条件，提出一种最大化中心用户和速率的无线资源分配算法，并给出算法的收敛性证明和复杂度分析；
en-us	Further, with the constraints of delay, reliability and bandwidth, a wireless resource allocation algorithm for maximizing the sum rates of central users is proposed, and also the convergence proof and complexity analysis of the algorithm are given.

zh-cn	最后，实验仿真验证了所提算法的性能优势。
en-us	Finally, the simulation results show theperformance advantages of the proposed optimal scheme.

zh-cn	针对卷积神经网络(CNN)计算量大、计算时间长的问题，该文提出一种基于现场可编程逻辑门阵列(FPGA)的卷积神经网络硬件加速器。
en-us	Considering the large computational complexity and the long-time calculation of ConvolutionalNeural Networks (CNN), an Field-Programmable Gate Array(FPGA)-based CNN hardware accelerator is proposed.

zh-cn	首先通过深入分析卷积层的前向运算原理和探索卷积层运算的并行性，设计了一种输入通道并行、输出通道并行以及卷积窗口深度流水的硬件架构。
en-us	Firstly, by deeply analyzing the forward computing principle and exploring the parallelism of convolutional layer, a hardware architecture in which parallel for the input channel and output channel, deep pipeline for the convolution window is presented.

zh-cn	然后在上述架构中设计了全并行乘法-加法树模块来加速卷积运算和高效的窗口缓存模块来实现卷积窗口的流水线操作。
en-us	Then, a full parallel multi-addition tree is designed to accelerate convolution and efficient window buffer to implement deep pipelining operation of convolution window.

zh-cn	最后实验结果表明，该文提出的加速器能效比达到32.73 GOPS/W，比现有的解决方案高了34%，同时性能达到了317.86 GOPS。
en-us	The experimental results show that the energy efficiency ratio of proposed accelerator reaches 32.73 GOPS/W, which is 34% higher than the existing solutions, as the performance reaches 317.86 GOPS.

zh-cn	该文研究macro-femto异构蜂窝网络中移动用户的功率控制问题，首先建立了以最小接收信号信干噪比为约束条件，最大化毫微微小区的总能效为目标的优化模型；
en-us	The power control problem of mobile users in macro-femto heterogeneous cellular networks is studied. Firstly, an optimization model that maximizes the total energy efficiency of femtocells with the minimum received signal-to-noise ratio as the constraint is established.

zh-cn	然后提出了基于Q-Learning算法的毫微微小区集中式功率控制(PCQL)算法，该算法基于强化学习，能在没有准确信道状态信息的情况下，实现对小区内所有用户终端的发射功率统一调整。
en-us	Then, a femtocell centralized Power Controlalgorithm based on Q-Learning (PCQL) is proposed. Based on reinforcement learning, the algorithm can adjustthe transmit power of the user terminal without accurate channel state information simultaneously.

zh-cn	仿真结果表明该算法能实现对用户终端的功率有效控制，提升系统能效。
en-us	The simulation results show that the algorithm can effectively control the power of the user terminal and improve system energy efficient.

zh-cn	人类面部表情是其心理情绪变化的最直观刻画，不同人的面部表情具有很大差异，现有表情识别方法均利用面部统计特征区分不同表情，其缺乏对于人脸细节信息的深度挖掘。
en-us	Facial expression is the most intuitive description of changes in psychological emotions, and different people have great differences in facial expressions. The existing facial expression recognition methods use facialstatistical features to distinguish among different expressions, but these methods are short of deep explorationfor facial detail information.

zh-cn	根据心理学家对面部行为编码的定义可以看出，人脸的局部细节信息决定了其表情意义。
en-us	According to the definition of facial behavior coding by psychologists, it can beseen that the local detail information of the face determines the meaning of facial expression.

zh-cn	因此该文提出一种基于多尺度细节增强的面部表情识别方法，针对面部表情受图像细节影响较大的特点，提出利用高斯金字塔提取图像细节信息，并对图像进行细节增强，从而强化人脸表情信息。
en-us	Therefore, a facial expression recognition method based on multi-scale detail enhancement is proposed, because facial expression is much more affected by the image details than other information, the method proposed in this paper extracts the image detail information with the Gaussian pyramid firstly, thus the image is enhanced in detail to enrich the facial expression information.

zh-cn	针对面部表情的局部性特点，提出利用层次结构的局部梯度特征计算方法，描述面部特征点局部形状特征。
en-us	Secondly, for the local characteristics of facial expressions, a local gradient feature calculation method is proposed based on hierarchical structure to describe the local shape features of facial feature points.

zh-cn	最后，使用支持向量机(SVM)对面部表情进行分类。
en-us	Finally, facial expressions are classified using a Support Vector Machine (SVM).

zh-cn	该文在CK+表情数据库中的实验结果表明，该方法不仅验证了图像细节对面部表情识别过程的重要作用，而且在小规模训练数据下也能够得到非常好的识别结果，表情平均识别率达到98.19%。
en-us	Theexperimental results in the CK+ expression database show that the method not only proves the important roleof image detail in facial expression recognition, but also obtains very good recognition results under small-scaletraining data. The average recognition rate of expressions reaches 98.19%.

zh-cn	目前大多数迁移学习方法在利用源域数据辅助目标域数据建模时，通常假设源域中的数据均与目标域数据相关。
en-us	Most current transfer learning methods are modeled by utilizing the source data with the assumptionthat all data in the source domain are equally related to the target domain.

zh-cn	然而在实际应用中，源域中的数据并非都与目标域数据的相关程度一致，若基于上述假设往往会导致负迁移效应。
en-us	In many practical applications,however, this assumption may induce negative learning effect when it becomes invalid.

zh-cn	为此，该文首先提出分类误差一致性准则(CCR)，对源域与目标域分类误差的概率分布积分平方误差进行最小化度量。
en-us	To tackle this issue, byminimizing the integrated squared error of the probability distribution of the source and target domainclassification errors, the Classification-error Consensus Regularization (CCR) is proposed.

zh-cn	此外，该文提出一种基于CCR的自适应知识迁移学习方法(CATL)，该方法可以快速地从源域中自动确定出与目标域相关的数据及其权重，以辅助目标域模型的构建，使其能在提高知识迁移效率的同时缓解负迁移学习效应。
en-us	Furthermore, CCR-based Adaptive knowledge Transfer Learning (CATL) method is developed to quickly determine the correlative source data and the corresponding weights. The proposed method can alleviate the negative transfer learning effect while improving the efficiency of knowledge transfer.

zh-cn	在真实图像以及文本数据集上的实验结果验证了CATL方法的优势。
en-us	The experimental results on the real image and text datasets validate the advantages of the CATL method.

zh-cn	该文对在接收端使用混合精度的模数转换器且采用迫零接收算法的大规模MIMO-OFDM系统的上行链路的频谱效率和能量效率进行了研究。
en-us	The spectral efficiency and energy efficiency of the uplink of massive MIMO-OFDM system is studied using mixed-precision Analog-Digital Converter (ADC) and Zero-Forcing (ZF) reception algorithm at the receiver.

zh-cn	采用加性量化噪声模型来对系统的性能进行分析，推导出整个系统的频谱效率和能量效率的近似闭式表达式，并通过仿真证明了表达式的正确性。
en-us	By using the additive quantization noise model to analyze the performance of the system, the approximate closed expression of the spectral efficiency and energy efficiency of the whole system is derived, and the correctness of the expression is proved by simulation.

zh-cn	研究结果表明，系统的频谱效率和每个用户的发送功率，接收端天线数目和接收端量化精度有关。
en-us	The research results show that the spectral efficiency of the system is related to the transmission power of each user, the number of antennas at the receiver and the quantization accuracy of the receiver.

zh-cn	数值和仿真结果还表明可以通过增加基站端的天线数量来补偿由低精度模数转换器带来的性能损失。
en-us	Numerical and simulation results also show that the performance loss caused by the low-precision ADC can be compensated by increasing the number of antennasat the base station.

zh-cn	针对机场外航服务人员班型生成面临的任务量大，约束条件复杂，人工生成班型方案困难等问题背景，考虑员工对任务具有层次资质，班型的各类劳动法规等约束条件，以最小化班型方案总工作时间为优化目标，研究构建了面向多任务层次资质场景下的班型生成优化模型，并设计禁忌搜索算法进行求解。
en-us	To solve the problem for the large amount of tasks, complex constraint conditions and manual whichis hard to generation shifts of airport foreign airline service personnel. A shift generation model is studied and constructed for multi-task hierarchical qualification which including employees have hierarchical qualifications for tasks and shift needs to meet all kinds of labor laws and regulations and others constraints to minimize the total working time of shifts for optimum. Tabu search algorithm is designed to solve the model.

zh-cn	在首都机场外航服务部实际排班数据集上进行实验，验证了模型和算法的实用性和有效性，实验结果表明，求得的班型方案相比较现有人工生成的班型方案，能满足所有约束条件且总工作时间更短，总服务人数更少，提高了机场资源利用率。
en-us	Experiments, based on the actual scheduling data set of the foreign airlines service department of capital airport, verify the practicability and effectiveness of the model and the algorithm. The results show that compared to the existing manual shifts schemes, shifts obtained by using the model can fulfill all constraint conditions, shorten the total working time, reduce the number of employees and improve the utilization rate of airport resources.

zh-cn	为减少卷积神经网络(CNN)的计算量，该文将2维快速滤波算法引入到卷积神经网络，并提出一种在FPGA上实现CNN逐层加速的硬件架构。
en-us	In order to reduce the computational complexity of Convolutional Neural Network(CNN), the two-dimensional fast filtering algorithm is introduced into the CNN, and a hardware architecture for implementing CNN layer-by-layer acceleration on FPGA is proposed.

zh-cn	首先，采用循环变换方法设计行缓存循环控制单元，用于有效地管理不同卷积窗口以及不同层之间的输入特征图数据，并通过标志信号启动卷积计算加速单元来实现逐层加速；
en-us	Firstly, the line buffer loop control unit is designed byusing the cyclic transformation method to manage effectively different convolution windows and the inputfeature map data between different layers, and starts the convolution calculation acceleration unit by the flagsignal to realize layer-by-layer acceleration.

zh-cn	其次，设计了基于4并行快速滤波算法的卷积计算加速单元，该单元采用若干小滤波器组成的复杂度较低的并行滤波结构来实现。
en-us	Secondly, a convolution calculation accelerating unit based on 4parallel fast filtering algorithm is designed. The unit is realized by a less complex parallel filtering structure composed of several small filters.

zh-cn	利用手写数字集MNIST对所设计的CNN加速器电路进行测试，结果表明：在xilinx kintex7平台上，输入时钟为100 MHz时，电路的计算性能达到了20.49 GOPS，识别率为98.68%。
en-us	Using the handwritten digit set MNIST to test the designed CNN accelerator circuit, the results show that on the xilinx kintex7 platform, when the input clock is 100 MHz, the computational performance of the circuit reaches 20.49 GOPS, and the recognition rate is 98.68%.

zh-cn	可见通过减少CNN的计算量，能够提高电路的计算性能。
en-us	It can be seen that the computational performance of the circuit can be improved by reducing the amount of calculation of the CNN.

zh-cn	码流生成在FPGA电子设计自动化(EDA)流程中，提供应用电路在芯片上物理实现所需的精准配置信息。
en-us	Bitstream generator in FPGA Electronic Design Automation(EDA) offers precise configuration information, which enables the application circuits to be implemented on the target device.

zh-cn	现代FPGA的发展一方面呈现出器件规模及码流容量越来越大的趋势，另一方面越来越多可变阵列大小的嵌入式应用(例如eFPGA)又要求码流生成器具备更高的配置效率以及更精简的可重构数据库。
en-us	On one hand, modern FPGAs tend to have larger device scale and more configuration bits, on the other hand, embedded applications (e.g. eFPGAs) require better configuration efficiency and smaller, more adaptive database.

zh-cn	针对码流生成时间增加的问题和阵列规模任意缩放的需求，该文提出一种模式匹配和层次映射的码流生成方法，即对编程单元按配置模式进行分类建模，在配置时按模型进行调用匹配，并采用了层次化的码流映射策略，使得数据库可随阵列排布调整动态生成。
en-us	In order to meet these new requirements, a bit-stream generation method is proposed which firstly models the configurable resources by configuration modes and matches the netlist with these models, then hierarchical mapping strategy is used to search every bit on a dynamically generated database determined by the array floor plan.

zh-cn	该方法可有效应对FPGA嵌入式应用中码流容量的增大以及阵列规模可变所带来的挑战，同时相比平面化的建模及映射方法，码流配置的时间复杂度由O(n)降低为O(lgn)。
en-us	This method well meets the challenges that embedded applications may bring-the surge ofconfiguration bit count and the changeable size of the array. Compared to flattened modelling and mappingmethod, its time complexity is reduced from O(n) to O(lgn).

zh-cn	针对条件对抗领域适应(CDAN)方法未能充分挖掘样本的可迁移性，仍然存在部分难以迁移的源域样本扰乱目标域数据分布的问题，该文提出一种基于迁移权重的条件对抗领域适应(TW-CDAN)方法。
en-us	Considering the failure of the Conditional adversarial Domain AdaptatioN(CDAN) to fully utilize thesample transferability, which still struggle with some hard-to-transfer source samples disturbed the distributionof the target domain samples, a Transfer Weight based Conditional adversarial Domain AdaptatioN(TW-CDAN) is proposed.

zh-cn	首先利用领域判别模型的判别结果作为衡量样本迁移性能的主要度量指标，使不同的样本具有不同的迁移性能；
en-us	Firstly, the discriminant results in the domain discriminant model as the main factor areemployed to measure the transfer performance.

zh-cn	其次将样本的可迁移性作为权重应用在分类损失和最小熵损失上，旨在消除条件对抗领域适应中难以迁移样本对模型造成的影响；
en-us	Then the weight is applied to class loss and minimum entropyloss. It is for eliminating the influence of hard-to-transfer samples of the model.

zh-cn	最后使用Office-31数据集的6个迁移任务和Office-Home数据集的12个迁移任务进行了实验，该方法在14个迁移任务上取得了提升，在平均精度上分别提升1.4%和3.1%。
en-us	Finally, experiments are carried out using the six domain adaptation tasks of the Office-31 dataset and the 12 domain adaptation tasks of the Office-Home dataset. The proposed method improves the 14 domain adaptation tasks and increases the averageaccuracy by 1.4% and 3.1% respectively.

zh-cn	该文提出了一种结合区域和深度残差网络的语义分割模型。基于区域的语义分割方法使用多尺度提取相互重叠的区域，可识别多种尺度的目标并得到精细的物体分割边界。
en-us	An image semantic segmentation model based on region and deep residual network is proposed.Region based methods use multi-scale to create overlapping regions, which can identify multi-scale objects andobtain fine object segmentation boundary.

zh-cn	基于全卷积网络的方法使用卷积神经网络(CNN)自主学习特征，可以针对逐像素分类任务进行端到端训练，但是这种方法通常会产生粗糙的分割边界。
en-us	Fully convolutional methods learn features automatically by using Convolutional Neural Network (CNN) to perform end-to-end training for pixel classification tasks, but typically produce coarse segmentation boundaries.

zh-cn	该文将两种方法的优点结合起来：首先使用区域生成网络在图像中生成候选区域，然后将图像通过带扩张卷积的深度残差网络进行特征提取得到特征图，结合候选区域以及特征图得到区域的特征，并将其映射到区域中每个像素上；
en-us	The advantages of these two methods are combined: firstly, candidateregions are generated by region generation network, and then the image is fed through the deep residualnetwork with dilated convolution to obtain the feature map. Then the candidate regions and the feature mapsare combined to get the features of the regions, and the features are mapped to each pixel in the regions.

zh-cn	最后使用全局平均池化层进行逐像素分类。
en-us	Finally, the global average pooling layer is used to classify pixels.

zh-cn	该文还使用了多模型融合的方法，在相同的网络模型中设置不同的输入进行训练得到多个模型，然后在分类层进行特征融合，得到最终的分割结果。
en-us	Multiple different models are obtained bytraining with different sizes of candidate region inputs. When testing, the final segmentation are obtained by fusing the classification results of these models.

zh-cn	在SIFT FLOW和PASCALContext数据集上的实验结果表明该文方法具有较高的平均准确率。
en-us	The experimental results on SIFT FLOW and PASCALContext datasets show that the proposed method has higher average accuracy than some state-of-the-artalgorithms.

zh-cn	为优化软件定义网络(SDN)的路由选路，该文将深度增强学习原理引入到软件定义网络的选路过程，提出一种基于深度增强学习的路由优化选路机制，用以削减网络运行时延、提高吞吐量等网络性能，实现连续时间上的黑盒优化，减少网络运维成本。
en-us	In order to achieve routing optimization in the Software Defined Network (SDN) environment, deep reinforcement learning is imposed to the SDN routing process and a mechanism based on deep reinforcement learning is proposed to optimize routing. This mechanism can improve network performance such as delay, throughput, and realize black-box optimization in continuous time, which surely reduces network operation and maintenance costs.

zh-cn	此外，该文通过实验对所提出的路由优化机制进行评估，实验结果表明，路由优化机制具有良好的收敛性与有效性，较传统路由协议可提供更优的路由方案与实现更稳定的性能。
en-us	Besides, the proposed routing optimization mechanism is evaluated through a series ofexperiments. The experimental results show that the proposed SDN routing optimization mechanism has good convergence and effectiveness, and can provide better routing configurations and performance stability than traditional routing protocols.

zh-cn	针对蜂窝网络传输性能及基站(BS)缓存能力受限，多用户内容请求难以满足用户服务质量(QoS)需求等问题，该文提出一种蜂窝终端直通(D2D)通信联合用户关联及内容部署算法。
en-us	Due to the limited transmission performance of cellular network and the buffering capabilities of theBase Station (BS), it is very difficult to achieve the Quality of Service (QoS) requirements of multi-user content requests. In this paper, a joint user association and content deployment algorithm is proposed for cellular Device-to-Device (D2D) communication network.

zh-cn	考虑到位于特定区域的多用户可能对于相同内容存在内容请求，该文引入成簇思想，提出一种成簇及内容部署机制，通过为各簇头推送热点内容，而簇成员基于D2D通信模式关联簇头获取所需内容，可实现高效内容获取。
en-us	Assuming that multiple users located in a specific area may have content requests for the same content, a clustering and content deployment mechanism is presented in order to achieve efficient content acquisition.

zh-cn	综合考虑成簇数量、用户关联簇头、簇头缓存容量及传输速率等限制条件，建立基于用户总业务时延最小化的联合成簇及内容部署优化模型。该文运用拉格朗日部分松弛法，并基于迭代算法及Kuhn-Munkres算法，从而得到联合成簇及内容部署优化策略。
en-us	A joint clustering and content deployment optimization model is formulated to minimize total user service delay, which can be solved by Lagrange partial relaxation, iterative algorithm and Kuhn-Munkres algorithm, and the joint clustering and content deployment optimization strategies can be obtained.

zh-cn	最后通过MATLAB仿真验证所提算法的有效性。
en-us	Finally, the effectiveness of the proposed algorithm is verified by MATLABsimulation.

zh-cn	针对2维主成分分析(2DPCA)算法无法实现在线特征提取及无法体现完整数据结构信息等问题，该文提出一种基于图像协方差无关的增量式2DPCA(I2DPCA)算法。该算法无需对图像协方差矩阵进行特征值分解奇异值分解，复杂度将大为降低，提高了特征提取速度。
en-us	To solve the problems that Two-Dimensional Principal Component Analysis (2DPCA) can not implement the on-line feature extraction and can not represent the complete structure information, an Incremental 2DPCA (I2DPCA) without estimating covariance matrices is presented by an iterative estimation method, not to deal with the image covariance matrices by the eigenvalue decomposition or the singular value decomposition. The complexity will be greatly reduced and the on-line feature extraction speed can be improved.

zh-cn	针对I2DPCA仅提取了横向特征的问题，又提出一种增量式行列顺序2DPCA(IRC2DPCA)算法，该算法对I2DPCA的特征矩阵再次进行纵向特征提取，保留了图像的横向与纵向结构信息，实现了行列两个方向上的特征提取与数据降维。
en-us	The proposed I2DPCA can only extract the horizontal features, and thus another Incremental Row-Column 2DPCA (IRC2DPCA) is proposed to incrementally extract the longitudinal ones from the feature  matrices of the I2DPCA. The IRC2DPCA can preserve the horizontal and longitudinal features and implement the dimensionality reduction in both row and column directions.

zh-cn	最后，以自建的物块数据集、通用的ORL和Yale人脸数据集分别进行对比实验，
en-us	Finally, a series of experiments are carried outwith the self-built block dataset, ORL and Yale face datasets, respectively.

zh-cn	结果表明，该文算法在收敛率、分类率及复杂度等性能方面均得到了显著提高，其收敛率达到99%以上，分类率可达97.6%，平均处理速度为29 帧/s，能够满足增量特征提取的实时处理需求。
en-us	The results show that the proposedalgorithms have significantly improved the performances of the convergence rate, the classification rate and thecomplexity. The convergence rate is over 99%, the classification rate can reach 97.6% and the averageprocessing speed is about 29 frames per second, and it can meet the on-line feature extraction requirements forincremental learning.

zh-cn	为了提高无色无向无冲突灵活的可重构光分插复用器(CDC-F ROADM)节点的弹性光网络IP组播频谱-能耗效率，该文提出一种全光组播能效调度算法(AMEESA)。
en-us	In order to improve multicast’s spectrum energy-efficient of elastic optical network configured withColorless, Directionless and Contentionless-Flexible Reconfigurable Optical Add/Drop Multiplexer (CDC-FROADM) nodes, an All-optical Multicast Energy Efficiency Scheduling Algorithm (AMEESA) is proposed.

zh-cn	在算法路由阶段，考虑能耗和链路频谱资源使用情况设计链路代价函数，构建最小代价光树算法组播光树。
en-us	Inthe routing phase, considering both energy consumption and link spectrum resource utilization, the link costfunction is designed to establish the multicast tree with the least cost.

zh-cn	在频谱分配阶段，设计基于高效光谱分辨率(HSR)光树中间节点频谱转换方法，选择节能频谱转换方案为组播光树分配频谱块资源。
en-us	In the spectrum allocation phase, aspectrum conversion method based on High Spectral Resolution (HSR) is designed by changing the spectrumslot index of adjacent links according to links availability of spectrum blocks. And an energy-saving spectrumconversion scheme is selected to allocate spectrum block resources for the multicast tree.

zh-cn	仿真分析表明，所提算法能有效提升网络能效，降低IP组播带宽阻塞率。
en-us	Simulation analysisshows that the proposed algorithm can effectively improve the network energy efficiency and reduce thebandwidth blocking probability of IP multicast.

zh-cn	线上合同签署在电子商务中日益普及，在互不信任的签署方之间签署一份合同并不是一件简单的事情，各方就合同签署问题提出过许多合同签署协议。
en-us	Online contract signing is becoming more and more popular in e-commerce. It is not easy to sign acontract between two parties who do not trust each other.

zh-cn	其中较多的协议是带有第三方参与的，但是在效率方面并不占优势，且易出现安全问题。
en-us	Many of these protocols involve the participation of third parties, but they are not advantageous in efficiency and prone to security problems.

zh-cn	现有借助区块链技术取代第三方参与的合同签署协议中，区块链的公开验证对不管是签署方还是待签署合同的敏感信息又发起了挑战。
en-us	Currently, contract signing agreements with third-party participation are replaced by block chain technology, but the public verification of block chain challenges the sensitive information of both the signer and the contract to be signed.

zh-cn	且大多协议针对于双方合同签署，随着签署方数量的增加，协议的通信成本和复杂度都在急剧增加。
en-us	And most of the agreements are for the signing of contracts between the two parties. With the increase of the number of signatories, the communication cost and complexity of the agreements increase sharply.

zh-cn	该文结合现有协议，提出一个高效的多方合同签署协议，协议中通过基于无证书的高效聚合签名方案，用于提高区块链下签署方签名验证效率，在区块链上仅公开签署方的临时密钥以减少系统开销。
en-us	Combined with the existing protocols, this paper proposes an efficient multi-party contract signing protocol. In the protocol, an efficient aggregation signature scheme based on no certificate is used to improve the signature verification efficiency of the signer under the block chain, and only the temporary key of the signer is disclosed on the block chain to reduce the system overhead.

zh-cn	该协议满足正确性、安全性、公平性、私密性以及高效性。
en-us	The protocol satisfies the requirements of correctness, security, fairness, privacy and high efficiency.

zh-cn	通过移动边缘计算下移云端的应用功能和处理能力支撑计算密集或时延敏感任务的执行成为当前的发展趋势。
en-us	To support the execution of computation-intensive, delay-sensitive computing task by moving downthe computing and processing capability in mobile edge computing becomes the current trend.

zh-cn	但面对众多移动终端用户时，如何有效利用计算资源有限的边缘节点来保障终端用户服务质量(QoS)成为关键问题。
en-us	However, whenserving a large number of mobile users, how to use effectively the edge nodes with limited computing resourcesto ensure Quality of service (QoS) of end-user has become a key issue.

zh-cn	为此，该文融合边缘云与远端云构建了一种分层的边缘云计算架构，以此架构为基础，以最小化移动设备能耗和任务执行时间为目标，将问题形式化描述为资源约束下的最小化能耗和时延加权和的凸优化问题，并提出基于乘子法的计算卸载及资源分配机制解决该问题。
en-us	To solve this problem, the edge cloudand remote cloud are combined to build a layered edge cloud computing architecture. Based on thisarchitecture, with the goal of minimizing mobile device energy consumption and task execution time, theproblem which is proved to be convex is formulated to minimize the weight sum of energy and delay. Acomputation offloading and resource allocation mechanism based on multiplier method is proposed.

zh-cn	实验结果表明，在计算任务量很大的情况下，提出的计算卸载及资源分配机制能够有效降低移动终端能耗，并在任务执行时延方面较局部计算与计算卸载机制分别降低最高60%与10%，提高系统性能。
en-us	Simulations are conducted to evaluate the proposed mechanism. Compared with local computing and computation offloading mechanism, the proposed mechanism can effectively reduce the energy consumption of mobile device and the delay of system by up to 60% and 10%, respectively.

zh-cn	网络功能虚拟化(NFV)的引入大幅降低了互联网业务的运营成本。
en-us	With the introduction of Network Function Virtualization (NFV), the operating costs of operatorscan be greatly reduced.

zh-cn	针对现有的服务功能链(SFC)编排方法无法在优化底层资源的同时保证业务时延性能的问题，该文提出一种基于重叠网络结构的SFC时空优化编排策略。
en-us	However, most existing Service Function Chain (SFC) orchestration researches can notoptimize the resources utilization while guaranteeing the performance of service delay. A spatial and temporal optimal method of Service Function Chain (SFC) orchestration based on an overlay network structure is proposed.

zh-cn	在将计算、网络资源与细粒度时延约束纳入考虑的基础上，该策略通过建立重叠网络模型实现了计算与网络资源的分离，将构建SFC所需的资源开销与相关时延共同抽象化为重叠网络链路权重,从而使SFC编排问题转化为易于求解的最短路径问题。
en-us	Based on the consideration of the restrictions such as computing resource, network resource and fine-grained end to end delay, this method separates the computing resource and network resource. The resourcescost and related delay of SFC can be abstracted into the links weight of overlay network, which can help toconvert the SFC orchestration problem into the shortest path problem that can be easily solved.

zh-cn	对于需要批量处理的SFC集合设计了基于重叠网络的模拟退火迭代优化编排算法(ONSA)。
en-us	As for theSFC requests set requiring batch processing, an Overlay Network based Simulated Annealing iterative optimalorchestration algorithm(ONSA) is designed.

zh-cn	通过对比实验证明了该策略下编排方案的平均端到端时延、链路资源占用率与运营开销相对其他方案分别降低29.5%, 12.4%与15.2%，请求接受率提高22.3%，虚拟网络功能(VNF)负载均衡性能得到显著提升。
en-us	The simulation results demonstrate that the proposed orchestrationscheme can reduce the end-to-end delay, the utilization ratio of link bandwidth resource and the operationalexpenditure by 29.5%, 12.4% and 15.2%, and the acceptance ratio of requests set can be improved by 22.3%.The performance of Virtual Network Function (VNF) load balancing can be significantly improved.

zh-cn	矩阵补全(MC)作为压缩感知(CS)的推广，已广泛应用于不同领域。
en-us	As an extension of Compressed Sensing(CS), Matrix Completion(MC) is widely applied to different fields.

zh-cn	近年来，基于黎曼优化的MC算法因重构精度高、计算速度快的特点，引起了广泛关注。
en-us	Recently, the Riemannian optimization based MC algorithm attracts a lot of attention from researchers due to its high accuracy in reconstruction and computational efficiency.

zh-cn	针对基于黎曼优化的MC算法需假设原矩阵秩固定已知，且随机选择迭代起点的特点，该文提出一种基于自动秩估计的黎曼优化MC算法。
en-us	Considering that the Riemannian optimization based MC algorithm assumes a fixed rank of the original matrix, and selects a random initial point for iteration, a novel algorithm is proposed, namely automatic rank estimation based Riemannian optimization matrix completion algorithm.

zh-cn	该算法通过优化包含秩正则项的目标函数，迭代获取秩估计值和预重构矩阵。在估计所得秩对应的矩阵空间上以预重构矩阵为迭代起点，利用基于黎曼流形的共轭梯度法进行矩阵补全，从而提高重构精度。
en-us	In the proposed algorithm, the estimate of rank is obtained minimizing the objective function that involving the rank regulation, in addition, the iterative starting point is optimized based on Riemannian manifold. The Riemannian manifold based conjugate gradient method is then used to completethe matrix, thereby improving the reconstruction precision.

zh-cn	实验结果表明，与几种经典的图像补全方法相比，该文算法图像重构精度显著提高。
en-us	The experimental results demonstrate that the image completion performance is significantly improved using the proposed algorithm, compared with several classical image completion methods.

zh-cn	侧信道攻击是当前云计算环境下多租户间信息泄露的主要途径，针对现有服务功能链(SFC)部署方法未充分考虑多租户环境下虚拟网络功能(VNF)面临的侧信道攻击问题，该文提出一种抗侧信道攻击的服务功能链部署方法。
en-us	Side channel attack is the primary way to leak information between tenants in current cloudcomputing environment. However, existing Service Function Chain (SFC) deployment methods do not fullyconsider the side channel attack problem faced by the Virtual Network Function (VNF) in the multi-tenantenvironment. A SFC deployment method is proposed against side channel attack.

zh-cn	引入基于时间均值的租户分类策略以及结合历史信息的部署策略，在满足服务功能链资源约束条件下，以最小化租户所能覆盖的服务器数量为目标建立相应的优化模型，并设计了基于贪婪选择的部署算法。
en-us	A tenant classificationstrategy based on average time and a deployment strategy considering historical information are introduced.Under the resource constraints of the SFC, the optimization model is established with the goal of minimizingthe number of servers that the tenant can cover. And a deployment algorithm is designed based on the greedychoice.

zh-cn	实验结果表明，与其他部署方法相比，该方法显著提高了恶意租户实现共存的难度与代价，降低了租户面临的侧信道攻击风险。
en-us	The experimental results show that, compared with other deployment methods, this method can significantly improve the difficulty and cost of malicious tenant to realize co-residence, and reduces the risk of side channel attack faced by tenants.

zh-cn	基于多视点视频序列视点内、视点间存在的相关性，并结合视点间运动矢量共享技术，该文提出一种面向3维高效视频编码中深度序列传输丢包的错误隐藏算法。
en-us	By using the intra-view and inter-view correlations and the motion vector-sharing, a depth map errorconcealment approach is proposed for 3D video coding based on the High Efficiency Video Coding (3D-HEVC)to combat the packet loss of the depth video transmission.

zh-cn	首先，根据3D高效视频编码(3D-HEVC)的分层B帧预测(HBP)结构和深度图纹理特征，将深度图丢失块分成运动块和静止块；
en-us	Based on the Hierarchical B-frame Prediction (HBP)structure in 3D-HEVC and textured features of the depth map, all the lost coding units are firstly categorized into two classes, i.e., motion blocks and static blocks.

zh-cn	然后，对于受损运动块，使用结合纹理结构的外边界匹配准则来选择相对最优的运动/视差矢量进行基于位移矢量补偿的错误掩盖，而对受损静止块采用参考帧直接拷贝进行快速错误隐藏；
en-us	Then, according to the outer boundary matching criterioncombining the texture structure, the optimal motion/disparity vector is chosen for the damaged motion blocksto conduct the motion/disparity compensation based error concealment. Whereas, the direct copy is applied toconcealling the damaged static blocks quickly.

zh-cn	最后，使用参考帧拆分重组来获取新的运动/视差补偿块对修复质量较差的重建块进行质量提升。
en-us	Finally, for the concealed blocks whose qualities are not ideal, the new motion/disparity compensation blocks reconstructed by the reference frames recombination are applied to improning the qualities of those blocks.

zh-cn	实验结果表明：相较于近年提出的对比算法，该文算法隐藏后的深度帧平均峰值信噪比(PSNR)能提升0.25～2.03 dB，结构相似度测量值(SSIM)能提升0.001～0.006，且修复区域的主观视觉质量与原始深度图更接近。
en-us	The experimental results show that the repaired depth mapconcealed by the proposed approach can achieve 0.25～2.03 dB gain in term of the Peak-Signal-to-Noise Ratio(PSNR) and 0.001～0.006 gain in term of Structural Similarity Index Measure(SSIM). Moreover, the subjectivevisual quality of the repaired area is better in lines with the original depth maps.

zh-cn	作为通信与勘探中广泛使用的一类信号，线性调频信号的参数分析经常采用基于Wigner-Ville分布(WVD)的时频分析方法。
en-us	Chirp signals are widely used in communication and exploration. The parameter analysis of the chirpsignals often uses a Wigner-Ville Distribution (WVD) based time-frequency analysis method, which achieveshigh time-frequency resolution.

zh-cn	该方法具有高时频分辨率，但在交叉项、高副瓣以及频谱混叠问题上存在缺陷。
en-us	However, this method has defects in cross terms, high sidelobes, and spectralaliasing problems.

zh-cn	该文提出一种名为空间变迹重排Wigner-Ville分布(SVA-rWVD)的时频分析方法，结合空间变迹技术(SVA)的副瓣抑制能力及短时傅里叶变换(STFT)的无混叠无交叉项特性，得到一个新的时频分布。
en-us	To solve these problems, a time-frequency analysis method called Spatially VariantApodiztion-rearrange Wigner Ville Distribution (SVA-rWVD) is proposed, which achieves low sidelobes by exploiting the Spatially Variant Apodization (SVA) techniques, and avoids the cross terms and the spectral aliasing problems by applying the Short Time Fourier Transform (STFT). Furthermore, a new time-frequencydistribution is obtained from the proposed method.

zh-cn	基于单分量和多分量线性调频信号的仿真实验结果表明，该方法得到的时频分布可以降低副瓣水平至–40 dB以下同时消除交叉项及频谱混叠现象。
en-us	Extensive simulations show that the time-frequencydistribution obtained by the proposed method not only reduces the sidelobe level to –40 dB but also eliminatescross terms and spectral aliasing for both single-component and multi-component chirp signals.

zh-cn	模糊C均值(FCM)聚类算法及其相关改进算法基于最大模糊隶属度原则确定聚类结果，没有充分利用迭代后的模糊隶属度矩阵和簇类中心的样本属性特征信息，影响聚类准确度。
en-us	With the attribute feature information of the fuzzy membership matrix and cluster centers after the iteration not fully utilized, the results of Fuzzy C-Means (FCM) Clustering and related modified algorithms are determined based on the principle of maximum fuzzy membership, causing bad influence on the clustering accuracy.

zh-cn	针对这个问题，该文提出一种新的改进思路：改进FCM算法输出定类原则。
en-us	To solve this problem, the improvement ideas are proposed: to improve classification principle ofFCM.

zh-cn	给出二元属性拓扑子空间中属性相似度的定义，最终提出一种基于属性空间相似性的改进FCM算法(FCM-SAS)：首先，选择FCM算法聚类后模糊隶属度低于聚类置信度的样本作为存疑样本；
en-us	The formula definition of attribute similarity in binary topological subspaces is given. Then, the improved FCM algorithm based on the Similarity of Attribute Space (FCM-SAS) is proposed: First, samples with fuzzy membership degree lower than the clustering reliability are selected as suspicious samples.

zh-cn	然后，计算存疑样本与聚类后聚类中心的属性相似度；最后，基于最大属性相似度原则更新存疑样本的簇类标签。
en-us	Next, the attribute similarity between the suspicious samples and the cluster centers after clustering are calculated. Finally, cluster labels of suspicious samples based on the principle of maximum attribute similarity are updated.

zh-cn	通过UCI数据集实验，证明算法不仅有效，还较一些基于最大模糊隶属度原则定类的改进算法具有更优的聚类评价指标。
en-us	The validity and superiority of the proposed algorithm is verified by the UCI sample set experiments andcomparisons with other modified algorithms based on the principle of maximum fuzzy membership.

zh-cn	转发式密集假目标干扰通过在距离维上产生多个虚假目标，扰乱雷达对真实目标的检测与识别。
en-us	Forwarding dense false target jamming disturbs the detection and recognition of real targets by generating multiple false targets in the range dimension.

zh-cn	由于虚假回波信号与真实信号高度相关，雷达很难对其进行有效识别和抑制。
en-us	Because the false echo signal is highly correlated withthe real signal, it is difficult for radar to recognize and suppress it effectively.

zh-cn	而捷变频雷达通过随机改变发射相邻脉冲的载频，大大提高了雷达的低截获和抗干扰能力。
en-us	Frequency agile radar improvesgreatly the low interception and anti-jamming ability of radar by randomly changing the carrier frequency oftransmitting adjacent pulses.

zh-cn	但是捷变频雷达不能完全消除干扰，部分目标回波脉冲可能被干扰淹没，无法很好地完成相参积累和目标检测。
en-us	However, agile radar can not completely eliminate the interference, some targetecho pulses may be submerged by the interference, agile radar can not complete coherent accumulation andtarget detection well either.

zh-cn	针对上述问题，该文提出捷变频联合Hough变换的抗干扰方法，首先利用脉间频率捷变技术规避大部分窄带瞄准和欺骗式干扰；
en-us	To solve the above problems, an anti-jamming method of frequency agilitycombined with Hough transform is proposed. Firstly, the inter-pulse frequency agility technology is used toavoid most narrowband aiming and deceptive jamming.

zh-cn	然后针对干扰信号时间上的不连续特性，通过Hough变换和峰值提取进行干扰识别与抑制；
en-us	Then, according to the time discontinuity of thejamming signal, Hough transform and peak extraction are used to identify and suppress the jamming.

zh-cn	最终，针对捷变频与传统动目标检测(MTD)不兼容问题，通过稀疏重构完成目标的检测。
en-us	Frequency agility is incompatible with the traditional Moving Target Detection(MTD). Target detection is accomplished by sparse reconstruction.

zh-cn	仿真与实际雷达和干扰机对抗实验表明，该方法可以获得良好的抗干扰性能和目标检测性能。
en-us	The simulation and actual radar and jammer countermeasure experiments show that the proposed method can achieve good anti-jamming performance and target detection performance.

zh-cn	致密焦面阵列馈源(DFPAF)融合了多喇叭多波束馈源和相控阵列馈源(PAF)的特点，与多喇叭多波束馈源和常规相控阵列馈源相比较，它可以同时提供更多的固定赋形波束进一步拓宽视场。
en-us	The Dense Focal Plane Array Feed (DFPAF), which integrates the characters of multi-beam feedwith multiple independent horns and Phased Array Feed (PAF), can simultaneously provide more fixed shapedbeams and wider field of view than multi-beam feed with multiple independent horns and PAF.

zh-cn	在射电天文、雷达、电子侦察和卫星通信等领域引起了极大的关注。
en-us	It attracts more attention in radio telescope, radar, electronic reconnaissance，satellite communication and so on.

zh-cn	由于其阵列结构与常规阵列馈源不同，因此近年来展开了对其设计方法的研究。
en-us	Its unique structure promotes the studies on special design method recently.

zh-cn	该文充分利用反射面天线的固有特性，并结合阵列天线理论，提出一种可以快速、稳健地设计致密焦面阵列馈源的方法，给出了设计原理和设计结果，并和最具代表性的多喇叭多波束馈源进行了性能对比分析，为设计致密焦面阵列馈电的大型反射面提供理论和数据参考。
en-us	Combing the theory of array antenna and inherent characteristic of parabolic reflector antenna, a fast design method with robust processing procedure is proposed in this paper. The design principle, calculated results, and comparison between DFPAFand the most representative multi-beam feed with multiple independent horns are presented. All these providea theoretical basis and reference data for the design of giant reflector with DFPAF.

zh-cn	为了改善负载跳变对低压差线性稳压器(LDO)的影响，该文提出一种用于无片外电容LDO(CL-LDO)的新型快速响应技术。
en-us	A novel technique for increasing the load response speed of Capacitor-Less Low-DropOut linearregulator (CL-LDO) is proposed to improve the transient response of CL-LDO when its load current changes.

zh-cn	通过增加一条额外的快速通路，实现CL-LDO的快速瞬态响应，并且能够减小LDO输出过冲和下冲的幅度。
en-us	With an additional fast signal feedback path, the CL-LDO can achieve fast transient response so that the overshoot and undershoot of its output voltage can be dramatically reduced.

zh-cn	该文电路基于0.18 μm CMOS工艺设计实现，面积为0.00529 mm2。
en-us	A CL-LDO with fast response isrealized in 0.18 μm CMOS and occupies an active area of 0.00529 mm2.

zh-cn	流片测试结果表明，当输入电压范围为1.5～2.5 V时，输出电压为1.194 V；
en-us	The CL-LDO has an output voltage of1.194 V when the input supply voltage ranges from 1.5 V to 2.5 V.

zh-cn	当负载电流以 1 μs的上升时间和下降时间在 100 μA～10 mA之间变化时，CL-LDO的过冲恢复时间为489.537 ns，下冲恢复为960.918 ns；
en-us	When the load current changes from 100 μAto 10 mA with the rise and fall time of 1 μs, the output of LDO can be recovered from its overshoot andundershoot to a stable voltage within 489.537 ns and 960.918 ns, respectively.

zh-cn	相比未采用该技术的传统CL-LDO，响应速度能够提高7.41倍，输出过冲和下冲的电压幅值能够分别下降35.3%和78.1%。
en-us	Compared with a traditional CL-LDO without this proposed technique, the transient response speed of this CL-LDO is increased by 7.41 times.The overshoot and undershoot of the output voltage is decreased by 35.3% and 78.1%, respectively.

zh-cn	针对视频监控中运动小目标难以检测的问题，该文提出一种基于航迹的检测算法。
en-us	To solve the problem that small moving object is difficult to be detected in video surveillance, atrack-based detection algorithm is proposed.

zh-cn	首先，为了降低检测漏警率，提出区域纹理特征与差值概率融合的自适应前景提取方法；
en-us	Firstly, in order to reduce missing alarm, an adaptive foreground extraction method combining regional texture features and difference probability is presented.

zh-cn	其次，为了降低检测虚警率，设计航迹关联的概率计算模型以建立疑似目标在视频帧间的关联，并设置双门限以区分疑似目标中的真实目标与虚假目标。
en-us	Then, for reducing false alarm, the probability computing model of track correlation is designed to establish the correlation of suspected objects between frames, and double-threshold are set to distinguish between true and false positive.

zh-cn	实验结果表明，与多种经典算法相比，该算法能对定量范围内的运动小目标以更低的漏警率和虚警率实施准确检测。
en-us	Experimental results show that compared with many classical algorithms, this algorithm can accurately detect small moving object within the quantitative range with lower missing and false alarm.

zh-cn	时分多址(TDMA)信号特定辐射源识别(SEI)的性能主要受限于突发数据的长度。
en-us	For Time-Division Multiple Access (TDMA) signals, the performance of Specific Emitter Identification (SEI) is primarily limited by burst duration.

zh-cn	为此，该文提出一种新的射频特征，从载波相位上揭示了相邻时隙的用户是否相同，为相同用户的数据累积提供了依据。
en-us	To remedy this shortcoming, a novel radiometric signature is presented, which reveals whether the users of the adjacent time slots are the same from a perspective of carrier phase, thereby providing the basis for data accumulation of the same user.

zh-cn	该文首先分析了特征的产生机理，并给出了提取方法；
en-us	First, the feature mechanism is introduced, as well as the extraction method.

zh-cn	根据特征的统计特性，推导了自适应的判决门限，实现了相邻时隙用户身份的检测；
en-us	Thereafter, user identity detection of the adjacent slots is implemented with an adaptive threshold, which is derived from the distribution of the signature.

zh-cn	在此基础上，设计了新的SEI处理流程，通过数据累积打破了每个时隙单独识别的传统思维。
en-us	Finally, a new SEI processing procedure is designed with data accumulation, which breaks the routine of identifying only one slot at a time.

zh-cn	实验结果表明：该特征对噪声具备良好的鲁棒性，能够实现相邻时隙用户身份的准确检测；
en-us	Simulation results demonstrate that the proposed signature is resilient against the noise, and can accurately detect the user identity of the adjacent slots.

zh-cn	与传统做法相比，新的处理流程能够有效改善TDMA信号SEI的性能。
en-us	Compared with thetraditional processing procedure, the proposed one can effectively improve the SEI performance of TDMAsignals.

zh-cn	异构混合群组签密不仅能够解决不同密码体制下数据传输的机密性和不可伪造性，而且还能对任意长度的数据进行加密。
en-us	Heterogeneous hybrid group signcryption can not only solve the confidentiality and unforgeability of data transmission under different cryptosystems, but also encrypt data of any length.

zh-cn	该文首先分析了一种异构密码体制下混合群组签密方案的安全性，指出该方案不满足正确性、机密性和不可伪造性。
en-us	Firstly, the security of ahybrid group signcryption scheme under heterogeneous cryptosystem is analyzed, and it is pointed out that thescheme does not satisfy the correctness, confidentiality and unforgeability.

zh-cn	并提出了一种新的高效异构混合群组签密方案。
en-us	And a new efficient heterogeneous hybrid group sign cryption scheme is proposed.

zh-cn	其次在随机预言机模型下证明了该方案是安全的。
en-us	Secondly, it is proved that the proposed scheme is safe under the random oracle model.

zh-cn	最后效率分析表明，该方案在实现原方案所有的功能的基础上同时降低了计算代价。
en-us	Finally, the efficiency analysis shows that the proposed scheme reduces the computational cost while realizing all the functions of the original scheme.

zh-cn	针对D2D通信的资源分配问题，该文研究了D2D信道选择与功率控制策略。
en-us	Considering the resource allocation problem for Device-to-Device (D2D) communications, a channel selection and power control strategy for D2D communications is investigated.

zh-cn	在保证蜂窝用户服务质量(QoS)的前提下，提出一种基于启发式的D2D信道选择算法，为系统内的D2D用户找到合适的信道复用资源。
en-us	On the premise of guaranteeingthe Quality of Service (QoS) of cellular users, a heuristic based D2D channel selection algorithm is proposed tofind the suitable channel reusing resources for D2D users in the system.

zh-cn	同时，利用拉格朗日对偶方法求解得到D2D用户最优传输功率。
en-us	At the same time, the optimal transmission power of D2D users is obtained by using the Lagrange dual method.

zh-cn	仿真结果表明当蜂窝用户与多对D2D用户共享信道资源时能够大幅度提升系统平均吞吐量。
en-us	Simulation resultsdemonstrate that when the cellular user shares channel resources with multiple pairs of D2D users, the systemthroughput can be dramatically improved.

zh-cn	在相同条件下，该算法的性能要明显优于现有算法。
en-us	The performance of this algorithm outperforms the exiting algorithms under the same conditions.

zh-cn	该文针对3维FPGA (3D FPGA)芯片存在的散热问题，提出具有低热梯度特征的互连网络通道结构
en-us	To solve the problem of heat dissipation in Three Dimensional Field Programmable Gate ArrayTechnology (3D FPGA), an interconnect channel architectural design method with low thermal gradient feature is proposed.

zh-cn	该文建立了3D FPGA的热阻网络模型；对不同类型的通道线对3D FPGA的热分布影响进行了理论分析和热仿真；
en-us	A thermal resistance network model is established for the 3D FPGA, and theoretical studies and thermal simulation experiments are carried out on the influence of different types of channels on the thermal performance of 3D FPGA.

zh-cn	提出了垂直方向通道网络非均匀分布的3D FPGA通道结构，实验表明，与给定传统FPGA互连通道结构相比，采用所提方法实现的3D FPGA设计架构能够降低76.8%的层间最高温度梯度，10.4%的层内温度梯度。
en-us	Further, non-uniform vertical direction channel structures of 3D FPGA areproposed. Experiments indicate that 3D FPGA designed using the method proposed can reduce the maximum temperature gradient between different layers by 76.8% and the temperature gradient within the same layer by10.4% compared with the traditional channel structure of 3D FPGA.

zh-cn	由于快速的卷积神经网络超分辨率重建算法(FSRCNN)卷积层数少、相邻卷积层的特征信息之间缺乏关联性，因此难以提取到图像深层信息导致图像超分辨率重建效果不佳。
en-us	The Fast Super-Resolution Convolutional Neural Network algorithm (FSRCNN) is difficult to extract deep image information due to the small number of convolution layers and the correlation lack between the feature information of adjacent convolutional layers.

zh-cn	针对此问题，该文提出多级跳线连接的深度残差网络超分辨率重建方法。
en-us	To solve this problem, a deep residual network super-resolution reconstruction method with multi-level skip connections is proposed.

zh-cn	首先，该方法设计了多级跳线连接的残差块，在多级跳线连接的残差块基础上构造了多级跳线连接的深度残差网络，解决相邻卷积层的特性信息缺乏关联性的问题；
en-us	Firstly, a residual block with multi-level skip connections is designed to solve the problem that the characteristic information of adjacent convolutional layers lacks relevance. A deep residual network with multi-level skip connections is constructed on the basis of the residual block.

zh-cn	然后，使用随机梯度下降法(SGD)以可调节的学习率策略对多级跳线连接的深度残差网络进行训练，得到该网络超分辨率重建模型；
en-us	Then, the deep residual network connected to the multi-level skip is trainedby using the adaptive gradient rate strategy of Stochastic Gradient Descent (SGD) method and the networksuper-resolution reconstruction model is obtained.

zh-cn	最后，将低分辨率图像输入到多级跳线连接的深度残差网络超分辨率重建模型中，通过多级跳线连接的残差块得到预测的残差特征值，再将残差图像和低分辨率图像组合在一起转化为高分辨率图像。
en-us	Finally, the low-resolution image is input into the deep residual network super-resolution reconstruction model with the multi-level skip connections, and the residual eigen value is obtained by the residual block connected the multi-level skip connections. The residual eigenvalue and the low resolution image are combined and converted into a high resolution image.

zh-cn	该文方法与bicubic, A+, SRCNN,FSRCNN和ESPCN算法在Set5和Set14测试集上进行了对比测试，在视觉效果和评价指标数值上该方法都优于其它对比算法。
en-us	The proposed method is compared with the bicubic, A+, SRCNN, FSRCNN and ESPCN algorithms in the Set5 and Set14 test sets. The proposed method is superior to other comparison algorithms in terms of visual effects and evaluation index values.

zh-cn	为解决多信源多中继低密度奇偶校验(LDPC)码编码协作系统编码复杂度高、编码时延长的问题，该文引入一种特殊结构的LDPC码—基于生成矩阵的准循环LDPC码(QC-LDPC)码。该类码结合了QC-LDPC码与基于生成矩阵LDPC (G-LDPC)码的特点，可直接实现完全并行编码，极大地降低了中继节点的编码时延及编码复杂度。
en-us	To solve the problems of high encoding complexity and long encoding delay in the multi-source multi-relay Low Density Parity Check (LDPC) coded cooperative system, a special kind of structured LDPC codes—Quasi-Cyclic LDPC (QC-LDPC) codes based on generator matrix is proposed, which combines the characteristics of QC-LDPC codes and Generator-matrix-based LDPC (G-LDPC) codes. It can perform completely parallel encoding, which greatly reduces the encoding complexity and delay at the relays.

zh-cn	在此基础上，推导出对应于信源节点和中继节点采用的QC-LDPC码的联合校验矩阵，并基于最大公约数(GCD)定理联合设计该矩阵以消除其所有围长为4, 6(girth-4, girth-6)的短环。
en-us	Based on this, a joint parity check matrix corresponding to the QC-LDPC codes adopted by the sources and relays is deduced, and the matrix is further jointly designed based on the Greatest Common Divisor (GCD) theorem to eliminate all cycles of girth-4 and girth-6.

zh-cn	理论分析和仿真结果表明，在同等条件下该系统的误码率(BER)性能优于相应的点对点系统。
en-us	Theoretical analysis and simulation results show that under the same conditions, the Bit Error Rate (BER) performance of the proposed system is better than that of the corresponding point-to-point system.

zh-cn	仿真结果还表明，与采用显式算法构造QC-LDPC码或一般构造QC-LDPC码的协作系统相比，采用联合设计QC-LDPC码的系统均可获得更高的编码增益。
en-us	The simulation results also show that the cooperative system with jointlydesigned QC-LDPC codes can obtain a higher coding gain than the system with explicitly constructedQC-LDPC codes or generally constructed QC-LDPC codes.

zh-cn	针对任意测站的对流层散射斜延迟估算时存在探空气象数据不易实时获取的不足，该文提出一种利用地面气象参数内插改进射线描迹计算公式的对流层散射斜延迟估计算法。
en-us	Considering the disadvantage of oblique delay estimation of tropospheric scattering at arbitrary stations, which is difficult to obtain real-time sounding meteorological data, an oblique delay estimation algorithm of tropospheric scattering based on improved ray tracing method with ground meteorological parameters is proposed.

zh-cn	该算法利用中纬度大气气象参数公式推导了折射指数随地心距变化的关系式，并采用气象参数内插方法获取温度变化率和水汽压变化率，克服了射线描迹法对探空数据的依赖。
en-us	In order to get rid of the method’s dependence on radiosonde data, the algorithm infers the relationship between refractive index and altitude through the formula of meteorological parameters in the model of medium latitude atmosphere.

zh-cn	根据亚洲地区6个国际GPS服务(IGS)测站2012年的实测气象数据，验证了该文算法解算天顶延迟年平均偏差的绝对值在1 cm以内；
en-us	Meteorological data for 2012 from 6International GNSS Service (IGS) stations in Asia are selected to test the applicability of new method, the results suggest that precision is less than 1 cm.

zh-cn	选取基线距离适宜的3个测站分成3组散射通信比对站，利用射线描迹法计算了其在0°～5°入射角下全年的斜延迟，结果表明，3组比对站进行单向传输的最大斜延迟为17.03～33.10 m；
en-us	Then, the tropospheric slant delays of three parts observationstations under different angles of incidence (0°～5°) are calculated by the modified algorithm. The resultssuggest that the maximum delay is 17.03～33.10 m in a single way time transfer.

zh-cn	进行双向时间比对相互抵消95%时，时间延迟为2.88～5.52 ns。
en-us	In two way time transfer,when the delay can counteract 95%, time delay is 2.88～5.52 ns.

zh-cn	在偏标记学习中，示例的真实标记隐藏在由一组候选标记组成的标记集中。
en-us	In partial label learning, the true label of an instance is hidden in a label-set consisting of a group of candidate labels.

zh-cn	现有的偏标记学习算法在衡量示例之间的相似度时，只基于示例的特征进行计算，缺乏对候选标记集信息的利用。
en-us	The existing partial label learning algorithm only measures the similarity between instances based on feature vectors and lacks the utilization of the candidate labelset information.

zh-cn	该文提出一种候选标记感知的偏标记学习算法(CLAPLL)，在构建图的阶段有效地结合候选标记集信息来衡量示例之间的相似度。
en-us	In this paper, a Candidate Label-Aware Partial Label Learning (CLAPLL) method is proposed, which combines effectively candidate label information to measure the similarity between instances during the graph construction phase.

zh-cn	首先，基于杰卡德距离和线性重构，计算出各个示例的标记集之间的相似度，然后结合示例相似度和标记集的相似度构建相似度图，并通过现有的基于图的偏标记学习算法进行学习和预测。
en-us	First, based on the jaccard distance and linear reconstruction, the similarity between the candidate labelsets of instances is calculated. Then, the similarity graph is constructed by combining the similarity of the instances and the label-sets, and then the existing graph-based partial label learning algorithm is presented for learning and prediction.

zh-cn	3个合成数据集和6个真实数据集上实验结果表明，该文方法相比于基线算法消歧准确率提升了0.3%～16.5%，分类准确率提升了0.2%～2.8%。
en-us	The experimental results on 3 synthetic datasets and 6 real datasets show that disambiguation accuracy of the proposed method is 0.3%～16.5% higher than baseline algorithm, and the classification accuracy is increased by 0.2%～2.8%.

zh-cn	针对复杂环境下，单测量矢量(SMV)条件下的正交频分复用(OFDM)时延估计问题，该文提出了一种基于贝叶斯自动相关性确定(BARD)的稀疏重构时延估计算法。
en-us	Considering the problem of Orthogonal Frequency Division Multiplexing (OFDM) signal delayestimation with only a Single Measurement Vector (SMV) in a complex environment, a sparse reconstructiontime delay estimation algorithm based on Bayesian Automatic Relevance Determination (BARD) is proposed.

zh-cn	该算法运用贝叶斯框架，从进一步挖掘有用信息的角度入手，引入不对称的自动相关性确定(ARD)先验，融入参数估计过程中，有效提升了低信噪比(SNR)和SMV条件下的时延估计精度。
en-us	The Bayesian framework is used to start from the perspective of further mining useful information, andasymmetric Automatic Relevance Determination(ARD) priori is introduced to integrate into the parameterestimation process, which improves the accuracy of time delay estimation under SMV and low Signal-to-NoiseRatio (SNR) conditions.

zh-cn	该算法首先基于OFDM信号物理层协议数据单元估计出的信道频域响应构造稀疏化实数域表示模型，然后对模型中的噪声和稀疏系数矢量进行概率假设，同时引入自动相关性确定先验；
en-us	Firstly, a sparse real-domain representation model is constructed based on theestimated frequency domain response of the OFDM signal physical layer protocol data unit. Then, probabilityhypothesis for the noise and sparse coefficient vectors are made in the model, and Automatic RelevanceDetermination (ARD) prior is introduced.

zh-cn	最后根据贝叶斯框架，通过期望最大化(EM)算法求解超参数，实现对时延的估计。
en-us	Finally, according to the Bayesian framework, the Expectation Maximization (EM) algorithm is used to solve the hyper parameters to estimate the delay.

zh-cn	仿真实验表明，该算法具有更好的估计性能，在信噪比较高时更加贴近克拉美罗界(CRB)。
en-us	The simulationexperiments show that the proposed algorithm has better estimation performance and is closer to theCramér–Rao Bound (CRB).

zh-cn	同时基于通用软件无线电外设(USRP)，利用实际信号对所提算法进行了有效性地验证。
en-us	At the same time, based on the Universal Software Radio Peripheral (USRP), the effectiveness of the proposed algorithm is verified by the actual signal.

zh-cn	针对现有的人机交互系统普遍存在情感缺失、参与人参与度不高的问题，该文依据PAD情感空间提出一种基于博弈的机器人认知情感交互模型。
en-us	To solve the problems of the existing in the process of human-computer interaction system, such a slack of emotion and low participation, a cognitive emotion interaction model based on game theory in PAD emotion space is proposed.

zh-cn	首先，对参与人的交互输入情感进行评估并分析当前人机交互关系，提取友好度和共鸣度2个影响因素。
en-us	Firstly, the interactive input emotion of participant is evaluated and some influencefactors such as friendship and resonance are extracted to analyze the current human-computer interactionrelationship.

zh-cn	其次，模拟人际交往的心理博弈过程对参与人和机器人的情感生成过程进行建模，将嵌入博弈的子博弈完美均衡策略作为机器人的最优情感选择策略；
en-us	Secondly, modeling the emotional generation process of participants and robots by simulating the psychological game process in interpersonal communication, and the optimal emotional strategy of the robot is obtained by using the sub-game perfection equilibrium of the embedded game.

zh-cn	最后，根据最优情感策略更新机器人的情感状态转移概率，并以6种基本情感的空间坐标为标签，得出受到情感刺激后机器人情感状态的空间坐标。
en-us	Finally, the emotional state transition probability of the robot is updated according the optimal emotional strategy. The spatial coordinates of the six basic emotional states are used as labels to obtain the PAD spatial coordinate of the robot emotional state after emotional stimulate.

zh-cn	实验结果表明，与其它认知交互模型相比，该文模型能够减少机器人对外界情感刺激的依赖并有效引导参与人参与人机交互，为机器人的情感认知建模提供了新的方法和思路。
en-us	The results of experiment show that compared with the others emotional interaction model, the proposed model can reduce the dependence of robots on external emotional stimuli and effective guide participants to participate in human-computer interaction, which provides some ideas for the emotion cognition model of robot in human-computer interaction.

zh-cn	针对目标快速运动、遮挡等复杂视频场景中目标跟踪鲁棒性差和跟踪精度低的问题，该文提出一种基于多层卷积特征的自适应决策融合目标跟踪算法(ASFTT)。
en-us	To solve the problems of low robustness and tracking accuracy in target tracking when interferencefactors occur such as target fast motion and occlusion in complex video scenes, an Adaptive Strategy FusionTarget Tracking algorithm (ASFTT) is proposed based on multi-layer convolutional features.

zh-cn	首先提取卷积神经网络(CNN)中帧图像的多层卷积特征，避免网络单层特征表征目标信息不全面的缺陷，增强算法的泛化能力；
en-us	Firstly, the multi-layer convolutional features of frame images in Convolutional Neural Network(CNN) are extracted, which avoids the defect that the target information of the network is not comprehensive enough, so as to increase the generalization ability of the algorithm.

zh-cn	使用多层特征计算帧图像相关性响应，提高算法的跟踪精度；
en-us	Secondly, in order to improve the tracking accuracy of the algorithm,the multi-layer features are performed to calculate the correlation responses, which improves the tracking accuracy.

zh-cn	最后该文使用自适应决策融合算法将所有响应中目标位置决策动态融合以定位目标，融合算法综合考虑生成响应的各跟踪器的历史决策信息和当前决策信息，以保证算法的鲁棒性。
en-us	Finally, the target position strategy in all responses are dynamically merged to locate the target through the adaptive strategy fusion algorithm in this paper. It comprehensively considers the historicalstrategy information and current strategy information of each responsive tracker to ensure the robustness.

zh-cn	采用标准数据集OTB2013对该文算法和6种当前主流跟踪算法进行了仿真对比，结果表明该文算法具有更加优秀的跟踪性能。
en-us	Experiments performed on the OTB2013 evaluation benchmark show that that the performance of the proposed algorithm are better than those of the other six state-of-the-art methods.

zh-cn	JPEG在高压缩比的情况下，解压缩后的图像会产生块效应、边缘振荡效应和模糊，严重影响了图像的视觉效果。
en-us	In the case of high compression rates, the JPEG decompressed image can produce blocking artifacts, ringing effects and blurring, which affect seriously the visual effect of the image.

zh-cn	为了去除JPEG压缩伪迹，该文提出了多尺度稠密残差网络。
en-us	In order to remove JPEG compression artifacts, a multi-scale dense residual network is proposed.

zh-cn	首先把扩张卷积引入到残差网络的稠密块中，利用不同的扩张因子，使其形成多尺度稠密块；
en-us	Firstly, the proposed network introduces the dilate convolution into a dense block and uses different dilation factors to form multi-scale dense blocks.

zh-cn	然后采用4个多尺度稠密块将网络设计成包含2条支路的结构，其中后一条支路用于补充前一条支路没有提取到的特征；
en-us	Then, the proposed network uses four multi-scale dense blocks to design the network into a structure with two branches, and the latter branch is used to supplement the features that are not extracted by the previous branch.

zh-cn	最后采用残差学习的方法来提高网络的性能。
en-us	Finally, the proposed network uses residual learning to improve network performance.

zh-cn	为了提高网络的通用性，采用具有不同压缩质量因子的联合训练方式对网络进行训练，针对不同压缩质量因子训练出一个通用模型。
en-us	In order to improve the versatility of the network, the network is trained by a joint training method with different compression quality factors, and a general model is trained for different compression quality factors.

zh-cn	经实验表明，该文方法不仅具有较高的JPEG压缩伪迹去除性能，且具有较强的泛化能力。
en-us	Experiments demonstrate that the proposed algorithm not only has high JPEG compression artifacts reduction performance, but also has strong generalization ability.

zh-cn	在遥感图像语义分割中，利用多元数据(如高程信息)进行辅助是一个研究重点。
en-us	Utilizing multiple data (elevation information) to assist remote sensing image segmentation is an important research topic in recent years.

zh-cn	现有的基于多元数据的分割方法通常直接将多元数据作为模型的多特征输入，未能充分利用多元数据的多层次特征，
en-us	However, the existing methods usually directly use multivariate dataas the input of the model, which fails to make full use of the multi-level features.

zh-cn	此外，遥感图像中目标尺寸大小不一，对于一些中小型目标，如车辆、房屋等，难以做到精细化分割。
en-us	In addition, the target sizevaries in remote sensing images, for some small targets, such as vehicles, houses, etc., it is difficult to achievedetailed segmentation.

zh-cn	针对以上问题，提出一种多特征图金字塔融合深度网络(MFPNet)，该模型利用光学遥感图像和高程数据作为输入，提取图像的多层次特征，
en-us	Considering these problems, a Multi-Feature map Pyramid fusion deep Network(MFPNet) is proposed, which utilizes optical remote sensing images and elevation data as input to extractmulti-level features from images.

zh-cn	然后针对不同层次的特征，分别引入金字塔池化结构，提取图像的多尺度特征，
en-us	Then the pyramid pooling structure is introduced to extract the multi-scalefeatures from different levels.

zh-cn	最后，设计了一种多层次、多尺度特征融合策略，综合利用多元数据的特征信息，实现遥感图像的精细化分割。
en-us	Finally, a multi-level and multi-scale feature fusion strategy is designed, which utilizes comprehensively the feature information of multivariate data to achieve detailed segmentation of remote sensing images.

zh-cn	基于Vaihingen数据集设计了相应的对比实验，实验结果证明了所提方法的有效性。
en-us	Experiment results on the Vaihingen dataset demonstrate the effectiveness of the proposed method.

zh-cn	高分辨率遥感图像内容复杂，提取特征来准确地表达图像内容是提高检索性能的关键。
en-us	High-resolution remote sensing images have complex visual contents, and extracting feature to represent image content accurately is the key to improving image retrieval performance.

zh-cn	卷积神经网络(CNN)迁移学习能力强，其高层特征能够有效迁移到高分辨率遥感图像中。
en-us	Convolutional Neural Networks (CNN) have strong transfer learning ability, and the high-level features of CNN can be efficiently transferred to high-resolution remote sensing images.

zh-cn	为了充分利用高层特征的优点，该文提出一种基于高层特征图组合及池化的方法来融合不同CNN中的高层特征。
en-us	In order to make full use of the advantages of high-levelfeatures, a combination and pooling method based on high-level feature maps is proposed to fuse high-levelfeatures from different CNNs.

zh-cn	首先将高层特征作为特殊的卷积层特征，进而在不同输入尺寸下保留高层输出的特征图；然后将不同高层输出的特征图组合成一个更大的特征图，以综合不同CNN学习到的特征；
en-us	Firstly, the high-level features are adopted as special convolutional features topreserve the feature maps of the high-level outputs under different input sizes, and then the feature maps arecombined into a larger feature map to integrate the features learned by different CNNs.

zh-cn	接着采用最大池化的方法对组合特征图进行压缩，提取特征图中的显著特征；
en-us	The combined featuremap is compressed by max-pooling method to extract salient features.

zh-cn	最后，采用主成分分析(PCA)来降低显著特征的冗余度。
en-us	Finally, the Principal ComponentAnalysis (PCA) is utilized to reduce the redundancy of the salient features.

zh-cn	实验结果表明，与现有检索方法相比，该方法提取的特征在检索效率和准确率上都有优势。
en-us	The experimental results show that compared with the existing retrieval methods, the features extracted by this method have advantages in retrieval efficiency and precision.

zh-cn	水下无线传感网络(UWSN)执行目标跟踪时，因为各个传感器节点测量值对目标状态估计的贡献不一样以及节点能量有限，所以探索一种好的节点融合权重方法和节点规划机制能够获得更好的跟踪性能。
en-us	When the Underwater Wireless Sensor Network (UWSN) performs target tracking, the contributions of the measured values of the nodes are different, and the battery energy carried by the sensor node is limited.Therefore, a good node fusion weight method and node planning mechanism can obtain better tracking performance.

zh-cn	针对上述问题，该文提出一种基于Grubbs准则和互信息熵加权融合的分布式粒子滤波(PF)目标跟踪算法(GMIEW)。
en-us	A distributed particle filter target tracking algorithm based on Grubbs criterion and MutualInformation Entropy Weighted (GMIEW) fusion is proposed to solve the above problem in this paper.

zh-cn	首先利用Grubbs准则对传感器节点所获得的信息进行分析检验，去除干扰信息和错误信息。
en-us	Firstly,the Grubbs criterion is used to analyze and verify the information obtained by the sensor nodes before theinformation fusion, and the interference information and error information are removed.

zh-cn	其次，在粒子滤波的重要性权值计算的过程中，引入动态加权因子，采用传感器节点的测量值与目标状态之间的互信息熵，来反映传感器节点提供的目标信息量，从而获得各个节点相应的加权因子。
en-us	Secondly, in the process of calculating the importance weight of particle filter, the dynamic weighting factor is introduced. The mutual information entropy between the measured value of the sensor node and the target state is used to reflect the amount of target information provided by the sensor node, so as to obtain the corresponding weighting factor of each node.

zh-cn	最后，采用3维场景下的簇-树型网络拓扑结构，跟踪监测区域内的目标。
en-us	Finally, the improved cluster-tree network topology is used to track the target inthree-dimensional space.

zh-cn	实验结果显示，该算法可有效提高水下传感器网络测量数据对目标跟踪预测的准确度，降低跟踪误差。
en-us	Simulation results show that the proposed algorithm improves greatly the accuracy of underwater sensor measurement data for target tracking prediction and reduces the tracking error.

zh-cn	针对非线性卫星信道，该文提出了两种基于回声状态网络(ESN)的在线盲均衡算法。
en-us	Two online blind equalization algorithms based on Echo State Network (ESN) in this paper are proposed for the nonlinear satellite channel.

zh-cn	利用ESN良好的非线性逼近能力，将发送信号的高阶统计量(HOS)代入ESN，结合常模算法(CMA)和多模算法(MMA)构造盲均衡的代价函数，并采用递归最小二乘(RLS)算法对ESN输出权值进行迭代寻优，实现了Volterra卫星信道下常模和多模信号的在线盲均衡。
en-us	These two algorithms take advantage of the good nonlinear approximation of ESN to bring the High-Order Statistics (HOS) of the transmitted signal into the ESN, and constructing cost function of blind equalization by combining Constant Modulus Algorithm (CMA) and Multi-Modulus Algorithm (MMA). Then, the Recursive Least Squares (RLS) algorithm is used to iteratively optimizethe network output weights, and the online blind equalization of the constant modulus signals and the multi-modulus signals over the channel of Volterra satellite are realized.

zh-cn	实验表明，该文算法可以有效降低非线性信道对发送信号产生的畸变，相较于传统的Vol-terra滤波方法，有更快的收敛速度和更低的均方误差值。
en-us	Experiments show that the proposed algorithms can effectively reduce the distortion of the transmitted signal by the nonlinear channel. Compared with the traditional Volterra filtering method, they have faster convergence speed and lower mean square error.

zh-cn	针对残缺电磁矢量传感器的极化敏感阵列多参数联合估计问题，该文提出一种基于正交偶极子的均匀线阵的2维波达方向(Direction-Of-Arrival, DOA)估计算法。
en-us	To solve the problem that polarization sensitive array of defective electromagnetic vector sensorestimate multi parameter, a two-dimensional DOA estimation algorithm based on orthogonal dipole is proposedin this paper.

zh-cn	首先，对极化敏感阵列的接收数据矢量的协方差矩阵进行特征分解，然后将信号子空间划分成4个子阵，根据旋转不变子空间(ESPRIT)算法分别求出其中1个子阵与其它3个子阵的相位差，再对不同子阵间的相位差进行配对，最后根据相位差求出信号的DOA估计和极化参数。
en-us	First, eigen decomposition of the covariance matrix is produced by the received data vectors of the polarization sensitive array. Then the signal subspace is divided into four subarrays, and the phase difference between one of the subarray and the others is obtained according to the ESPRIT algorithm. Then the phase difference between different subarrays is paired. Finally, the DOA estimation and polarization parameters ofthe signal are calculated according to the phase difference.

zh-cn	由正交偶极子组成的均匀线阵使用极化MUSIC算法和传统ESPRIT算法无法进行2维DOA估计，该文提出的算法解决了这个问题，并且相较于极化MUISC算法降低了算法的复杂度。
en-us	The uniform linear array composed by orthogonaldipoles can not be two-dimensional DOA estimated by using the MUSIC algorithm and the traditional ESPRITalgorithm. The algorithm proposed in this paper solves this problem, and compared with the polarizationMUISC algorithm greatly reduces the complexity of the algorithm.

zh-cn	仿真结果验证了该文算法的有效性。
en-us	The simulation results verify theeffectiveness of the proposed algorithm.

zh-cn	显著性目标检测旨在于一个场景中自动检测能够引起人类注意的目标或区域，在自底向上的方法中，基于多核支持向量机(SVM)的集成学习取得了卓越的效果。
en-us	Salient object detection which aims at automatically detecting what attracts human’s attention most in a scene, bootstrap learning based on Support Vector Machine(SVM) has achieved excellent performance in bottom-up methods.

zh-cn	然而，针对每一张要处理的图像，该方法都要重新训练，每一次训练都非常耗时。
en-us	However, it is time-consuming for each image to be trained once based on multiple kernelSVM ensemble.

zh-cn	因此，该文提出一个基于加权的K近邻线性混合(WKNNLB)显著性目标检测方法：
en-us	So a salient object detection model via Weighted K-Nearest Neighbor Linear Blending(WKNNLB) is proposed.

zh-cn	利用现有的方法来产生初始的弱显著图并获得训练样本，引入加权的K近邻(WKNN)模型来预测样本的显著性值，该模型不需要任何训练过程，仅需选择一个最优的K值和计算与测试样本最近的K个训练样本的欧式距离。
en-us	First of all, existing saliency detection methods are employed to generate weaksaliency maps and obtain training samples. Then, Weighted K-Nearest Neighbor (WKNN) is introduced tolearning salient score of samples. WKNN model needs no pre-training process, only needs selecting K value andcomputing saliency value by the K-nearest neighbors labels of training sample and the distances between the K-nearest neighbors training samples and the testing sample.

zh-cn	为了减少选择K值带来的影响，多个加权的K近邻模型通过线性混合的方式融合来产生强的显著图。
en-us	In order to reduce the influence of selecting K value,linear blending of multi-WKNNs is applied to generating strong saliency maps.

zh-cn	最后，将多尺度的弱显著图和强显著图融合来进一步提高检测效果。
en-us	Finally, multi-scale saliencymaps of weak and strong model are integrated together to further improve the detection performance.

zh-cn	在常用的ASD和复杂的DUT-OMRON数据集上的实验结果表明了该算法在运行时间和性能上的有效性和优越性。
en-us	The experimental results on common ASD and complex DUT-OMRON datasets show that the algorithm is effective and superior in running time and performance.

zh-cn	当采用较好的弱显著图时，该算法能够取得更好的效果。
en-us	It can even perform favorable against the state-of-the-artmethods when adopting better weak saliency map.

zh-cn	室内定位中半监督学习的指纹库构建方法能够降低人力开销，但忽略了高维接收信号强度(RSS)数据不均匀的非齐分布特点，影响定位精度，针对此问题该文提出一种基于RSS非齐性分布特征的半监督流形对齐指纹库构建方法。
en-us	The radio map construction is time consuming and labor intensive, and the conventional semi-supervised based methods usually ignore the influence of the uneven distribution of high-dimensional Received Signal Strength (RSS). In order to solve that problem, a semi-supervised radio map construction approachwhich is based on the nonhomogeneous distribution characteristic of RSS is proposed.

zh-cn	该算法运用局部RSS尺度参数以及共享近邻相似性构造权重矩阵，得到精确反映RSS数据流形结构的权重图，利用该权重图通过求解流形对齐的目标函数最优解，实现运用少量标记数据对大量未标记数据的位置标定。
en-us	The approach utilizes theRSS local scale and common neighbors similarities to calculate the weighted matrix. Thus, the weighted graphthat reflects accurately the structure of RSS data manifold is presented. In addition, the weighted graph is usedto find the optimal solution of the objective function to calibrate the locations of plenty of unlabeled data by asmall number of labeled RSS.

zh-cn	实验结果表明，该算法可以显著降低离线阶段数据采集的工作量，同时可以取得较高的定位精度。
en-us	The extensive experiments demonstrate that the proposed method is capable of not only constructing an accurate radio map at a low manual cost, but also achieving a high localization accuracy.

zh-cn	针对从单目视觉图像中估计深度信息时存在的预测精度不够准确的问题，该文提出一种基于金字塔池化网络的道路场景深度估计方法。
en-us	Considering the problem that the prediction accuracy is not accurate enough when the depth information is recovered from the monocular vision image, a method of depth estimation of road scenes based on pyramid pooling network is proposed.

zh-cn	该方法利用4个残差网络块的组合提取道路场景图像特征，然后通过上采样将特征图逐渐恢复到原始图像尺寸，多个残差网络块的加入增加网络模型的深度；
en-us	Firstly, using a combination of four residual network blocks, the roadscene image features are extracted, and then through the sampling, the features are gradually restored to theoriginal image size, and the depth of the residual block is increased.

zh-cn	考虑到上采样过程中不同尺度信息的多样性，将提取特征过程中各种尺寸的特征图与上采样过程中相同尺寸的特征图进行融合。
en-us	Considering the diversity of information indifferent scales, the features with same sizes extracted from the sampling process and the feature extraction process are merged.

zh-cn	此外，对4个残差网络块提取的高级特征采用金字塔池化网络块进行场景解析，最后将金字塔池化网络块输出的特征图恢复到原始图像尺寸并与上采样模块的输出一同输入预测层。
en-us	In addition, pyramid pooling network blocks are added to the advanced features extracted by four residual network blocks for scene analysis, and the feature graph output of pyramid pooling network blocks is finally restored to the original image size and input prediction layer together with the output of the upper sampling module.

zh-cn	通过在KITTI数据集上进行实验，结果表明该文所提的基于金字塔池化网络的道路场景深度估计方法优于现有的估计方法。
en-us	Through experiments on KITTI data set, the results show that the proposed method is superior to the existing method.

zh-cn	针对基于图模型的显著性检测算法中节点间特征差异描述不准确的问题，该文提出一种目标紧密性与区域同质性策略相结合的图像显著性检测算法。
en-us	Considering the inaccurate description of feature differences between nodes in the graph-based saliency detection algorithm, an image saliency detection algorithm combining object compactness and regional homogeneity strategy is proposed.

zh-cn	区别于常用的图模型，该算法建立更贴近人眼视觉系统的稀疏图结构与新颖的区域同质性图结构，以便描述图像前景内部的关联性与前景背景间的差异性，从而摒弃众多节点的冗余连接，强化节点局部空间关系；
en-us	Different from the commonly used graph-based model, a sparse graph-based structure closer to the human visual system and a novel regional homogeneity graph-based structure are established. They are used to describe the correlation within the foreground and the difference between foreground and background. Therefore, many redundant connections of nodes are eliminated and the local spatial relationship of nodes is strengthened.

zh-cn	并且结合聚类簇紧密性采取流形排序的方式形成显著图，利用背景区域簇的相似性，引入背景置信度进行显著性优化，最终得到精细的检测结果。
en-us	Then the clusters are combined to form a saliency map by meansof manifold ranking. Finally, the background confidence is introduced for saliency optimization by the similarity of the background region clusters and the final detection result is obtained.

zh-cn	在4个基准数据集上与4种基于图模型的流行算法对比，该算法能清晰地突出显著区域，且在多种综合指标评估中，具备更优越的性能。
en-us	Compared with 4 popular graph-based algorithms on the four benchmark datasets, the proposed algorithm can highlight the salient regionsclearly and has better performance in the evaluation of multiple comprehensive indicators.

zh-cn	针对新一代多普勒气象雷达的散射回波图像受非降雨等噪声回波干扰导致精细化短时气象预报准确度降低的问题，该文提出一种基于深度卷积神经网络(DCNN)的气象雷达噪声图像语义分割方法。
en-us	Considering the problem that the scattering echo image of the new generation Doppler meteorologicalradar is reduced by the noise echoes such as non-rainfall, the accuracy of the refined short-term weatherforecast is reduced. A method for semantic segmentation of meteorological radar noise image based on DeepConvolutional Neural Network(DCNN) is proposed.

zh-cn	首先，设计一种深度卷积神经网络模型(DCNNM)，利用MJDATA数据集的训练集数据进行训练，通过前向传播过程提取特征，将图像高维全局语义信息与局部特征细节融合；
en-us	Firstly, a Deep Convolutional Neural Network Model(DCNNM) is designed. The training set data of the MJDATA data set are used for training, and the feature isextracted by the forward propagation process, and the high-dimensional global semantic information of theimage is merged with the local feature details.

zh-cn	然后，利用训练误差值反向传播迭代更新网络参数，实现模型的收敛效果最优化；
en-us	Then, the network parameters are updated by using the training error value back propagation iteration to optimize the convergence effect of the model.

zh-cn	最后，通过该模型对气象雷达图像数据进行分割处理。
en-us	Finally, themeteorological radar image data are segmented by the model.

zh-cn	实验结果表明，该文方法对气象雷达图像的去噪效果较好，与光流法、全卷积网络(FCN)等方法相比，该文方法对气象雷达图像中真实回波和噪声回波的识别准确率高，图像的像素精度较高。
en-us	The experimental results show that the proposed method has better denoising effect on meteorological radar images, and compared with the optical flow method and the Fully Convolutional Networks (FCN), the method has high recognition accuracy for meteorological radar image real echo and noise echo, and the image pixel precision is high.

zh-cn	涡轮式气体流量传感器在用力肺功能测试中用于记录人体呼气信号，由于旋转惯性，对于相同用力呼气容量(FVC)值，测量结果因呼出气体流量而异，且差异值通常不可接受。
en-us	Currently, the turbine air flow sensors are widely used to record the human exhalation signals inspirometry, but test results vary due to different expiratory flow for the same Forced Vital Capacity(FVC)measurements, and the differences are usually not in an acceptable range.

zh-cn	针对该问题，该文通过在传统稳态涡轮流量计算模型的基础上引入速度惩罚项，构建一种FVC速度惩罚模型，与此同时，提出使用过幅降采样涡轮旋转周数算法，二者结合，提高了FVC测试结果的可接受性。
en-us	To address this issue, a FVC velocity penalty model is proposed by introducing speed penalty items to the traditional mathematical model of turbine.Moreover, an over-amplitude drop sampling approach is used to calculate the rotations of the turbine due to the needs for the velocity penalty model to be able to accurately obtain the number of turbine rotations.

zh-cn	利用国际通用的标准3 L定标桶，模拟真实用力肺功能测试过程，对算法的有效性进行验证。实验结果表明：所提方法能够有效降低前述差异，在一定程度上满足美国胸科协会(ATS)和欧洲呼吸学会(ERS)所提出的用力肺功能测试可接受标准和准确度要求。
en-us	The performance of the proposed approach is evaluated by using a syringe dispenser of 3L capacity, and results demonstrate that it can reduce the differences and meet the acceptable and accuracy criteria of the AmericanThoracic Society(ATS) and the European Respiratory Society(ERS) to some extent.

zh-cn	延长积累时间可以有效提高无源雷达的目标探测能力，但是对于高速机动目标，其速度、加速度、第二加速度等因素导致现有的检测算法在积累过程中发生距离徙动(RM)和多普勒频率徙动(DFM)，使得目标检测性能恶化。
en-us	Increasing the integration time can effectively improve the detection performance of passive radar.However, for maneuvering targets, the complex motions, such as high velocity, acceleration and jerk, causeexisting detection methods to suffer the Range Migration (RM) and Doppler Frequency Migration (DFM)during the integration time, which deteriorates the detection performance.

zh-cn	该文针对无源雷达中变加速运动目标的长时间相参积累问题，提出一种基于相邻互相关函数(ACCF)-参数化中心频率-调频率分布(PCFCRD)-Keystone变换(KT)的相参积累算法(ACCF-PCFCRD-KT)。
en-us	This paper addresses the long timecoherent integration for a maneuvering target with high-order motion (e.g., jerk motion) in passive radarsystems. A method based on Adjacent Cross Correlation Function (ACCF), Parameterized Centroid Frequency-Chirp Rate Distribution (PCFCRD) and Keystone Transform (KT)(ACCF-PCFCRD-KT), is proposed.

zh-cn	首先给出无源雷达中变加速运动目标的回波模型，分析了目标速度、加速度和第二加速度对相参积累的影响。
en-us	Firstly, the signal model for the maneuvering targets is given, and the influence of the target velocity, acceleration and jerk on the coherent integration is analyzed.

zh-cn	针对目标第二加速度引起的多普勒频率弯曲，采用ACCF降低了距离和多普勒频率徙动的阶数，而后利用PCFCRD估计出目标加速度和第二加速度参数，在补偿了目标加速度和第二加速度引起的2次和3次徙动后，利用KT校正目标速度引起的线性徙动，并实现目标回波的积累。
en-us	For the Doppler curvature induced by the jerk motion, the ACCFis firstly applied to reducing the order of RM and DFM. Then the PCFCRD operation is employed to estimatethe acceleration and jerk parameters. After compensating the RM and DFM caused by the acceleration and jerk, the RM arising from the velocity is corrected via the KT operation and the target echo energy is coherently integrated.

zh-cn	仿真结果表明，该算法可有效补偿无源雷达中目标运动导致的RM和DFM，对变加速机动目标的积累效果显著优于现有算法。
en-us	Simulation results demonstrate that the proposed method can effectively compensate theRM and DFM caused by the target motion parameters in passive radar, and for a maneuvering target with jerkmotion, the proposed method achieves better integration performance over the existing methods.

zh-cn	针对对偶序列跳频(DSHF)在极低信噪比(SNR)下无法通信的问题，该文充分利用对偶序列跳频信号时、频域物理特征，提出一种随机共振(SR)检测方法，极大扩展该信号的应用场景。
en-us	Considering the problem that the Dual-Sequence Frequency Hopping (DSFH) can not communicate at extremely low Signal-to-Noise Ratio (SNR), a Stochastic Resonance (SR) detection method is proposed. The SR takes full advantage of the physical characteristics of DSFH signal to improve the detection performance.

zh-cn	首先，通过分析对偶序列跳频的发射、接收信号及超外差解调的中频(IF)信号，构建随机共振系统，采用尺度变换调整中频信号；
en-us	Firstly, the SR is constructed by analyzing signals of transmission, reception and the Intermediate Frequency(IF). The scale transaction is used to adjust the IF signal to fit the SR.

zh-cn	然后，引入判决时刻，将无定态解的非自治福克普朗克方程(FPE)转化为可解的自治方程，从而推导出含时间参量的概率密度周期定态解；
en-us	Secondly, the non-autonomous Fokker-Plank Equation (FPE) is transformed into an autonomous equation by introducing the decision time.Therefore, the analytical solution of the probability density function with the parameter of decision time is obtained.

zh-cn	其次，以最大后验概率为准则，得到检测概率、虚警概率和接收机工作特性(ROC)曲线；
en-us	Finally, the detection probability, false alarm probability and Receiver Operating Characteristics(ROC) curve are obtained, when the criterion is the Maximum A Posterior probability (MAP).

zh-cn	最后，得出以下结论：(1) 应用匹配随机共振检测对偶序列跳频信号的信噪比最低可达–18 dB；
en-us	Simulation analysis results show three conclusions: (1) The SNR of DSFH signal can be as low as –18 dB, which uses thematched SR detection.

zh-cn	(2)对偶序列跳频与匹配随机共振结合，适用于信噪比在–18～–14 dB的信号检测；
en-us	(2) Method for combining DSFH with the matched SR is suitable to detect the signalswith SNR of –18 ～–14 dB.

zh-cn	(3)应用匹配随机共振检测对偶序列跳频信号在信噪比为–14 dB时，检测性能提升了25.47%。
en-us	(3) In the case of –14 dB SNR, the DFSH signal detection performance increases by25.47%, when using SR.

zh-cn	仿真实验验证了理论的正确性。
en-us	The proposed method effectiveness is proved with simulation results.

zh-cn	该文着重研究了FPGA芯片中核心模块基本可编程逻辑单元(BLE)的电路结构与优化设计方法，针对传统4输入查找表(LUT)进行逻辑操作和算术运算时资源利用率低的问题，提出一种融合多路选择器的改进型LUT结构，该结构具有更高面积利用率；
en-us	The circuit structure optimization method for Basic programmable Logic Element (BLE) of FPGA is studied. Considering finding the solution to the bottleneck problem of low resource utilization efficiency in logicand arithmetic operations with 4-input Look Up Table (LUT), some efforts to improve BLE design based on 4-input LUT are explored.

zh-cn	同时提出一种对映射后网表进行统计的评估优化方法，可以对综合映射后网表进行重新组合，通过预装箱产生优化后网表；最后，对所提结构进行了实验评估和验证。
en-us	A high area-efficient LUT structure is proposed, and the possible benefits of such anew structure are analyzed theoretically and simulated. Further, a statistical method for evaluation of the post synthesis and mapping netlist is also proposed. Finally, a number of experiments are carried out to assess theproposed structure based on the MCNC and VTR benchmarks.

zh-cn	结果表明：与Intel公司Stratix系列FPGA相比，采用该文所提优化结构，在MCNC电路集和VTR电路集下，资源利用率平均分别提高了10.428% 和 10.433%，有效提升了FPGA的逻辑效能。
en-us	The results show that, compared with IntelStratix series FPGAs, the optimized structure proposed in this paper improves respectively the area efficiencyof the FPGA by 10.428% and 10.433% in average under the MCNC and VTR benchmark circuits.

zh-cn	随着物联网等普适计算的发展，传感器、射频识别(RFID)标签等被广泛使用，这些微型设备的计算能力有限，传统的密码算法难以实现，需要硬件效率高的轻量级分组密码来支撑。
en-us	With the development of the internet of things, small-scale communication devices such as wireless sensors and the Radio Frequency IDentification(RFID) tags are widely used, these micro-devices have limited computing power, so that the traditional cryptographic algorithms are difficult to implement on these devices.How to construct a high-efficiency diffusion layer becomes an urgent problem.

zh-cn	最大距离可分(MDS)矩阵扩散性能最好，通常被用于构造分组密码扩散层，异或操作次数(XORs)是用来衡量扩散层硬件应用效率的一个指标。
en-us	With the best diffusion property,the Maximal Distance Separable (MDS) matrix is often used to construct the diffusion layer of block ciphers.The number of XOR operations (XORs) is an indicator of the efficiency of hardware applications.

zh-cn	该文利用一种能更准确评估硬件效率的XORs计算方法，结合一种特殊结构的矩阵—Toeplitz矩阵，构造XORs较少效率较高的MDS矩阵。
en-us	Combined with the XORs calculation method which can evaluate hardware efficiency more accurately and a matrix with special structure——Toeplitz matrix, efficient MDS matrices with less XORs can be constructed.

zh-cn	利用Toeplitz矩阵的结构特点，改进矩阵元素的约束条件，降低矩阵搜索的计算复杂度，在有限域上得到了已知XORs最少的4×4MDS矩阵和6×6MDS矩阵，同时还得到XORs等于已知最优结果的5×5MDS矩阵。
en-us	Using thestructural characteristics of the Toeplitz matrix, the constraints of matrix elements are improved, and thecomplexity of matrices searching is reduced. The 4×4 MDS matrices and the 6×6 MDS matrices with the leastXORs in the finite field  are obtained, and the 5×5 MDS matrices with the XORs which are equal to theknown optimal results are obtained too.

zh-cn	该文构造的具有最小XORs的MDS Toeplitz矩阵，对轻量级密码算法的设计具有现实意义。
en-us	The proposed method of constructing MDS Toeplitz matrices with theleast XORs has significance on the design of lightweight cryptographic algorithms.

zh-cn	针对高密度部署的随机异构传感器网络内部存在的覆盖冗余问题，该文提出一种随机异构无线传感器网络的节点调度算法(NSSH)。
en-us	Considering coverage redundancy problem existed in random heterogeneous sensor networks withhigh density deployment, a Node Scheduling algorithm for Stochastic Heterogeneous wireless sensornetworks(NSSH) is proposed.

zh-cn	在网络原型拓扑的支撑下构建Delaunary三角剖分，规划出节点进行本地化调度的局部工作子集。
en-us	The Delaunary triangulation is constructed based on the network prototypetopology to work out a local subset of nodes for localization scheduling.

zh-cn	通过折中与邻近节点的空外接圆半径，完成对感知半径的独立配置；
en-us	Independent configuration of the perceived radius is achieved by discounting the radius of the circumcircle with the adjacent node.

zh-cn	引入几何线、面概念，利用重叠面积和有效约束圆弧完成对灰、黑色节点的分类识别，使得节点仅依赖本地及邻居信息进行半径调整和冗余休眠。
en-us	The concept of geometric line and plane is introduced, and the overlapping area and the effective constrained arcs are used to classify and identify the grey and black nodes. So the node only relies on local and neighbor information for radius adjustment and redundant node sleep.

zh-cn	仿真结果表明，NSSH能以低复杂度的代价，近似追平贪婪算法的去冗余性能，并表现出了对网络规模、异构跨度和参数配置的低敏感性。
en-us	The simulation results show that NSSH can approximately matchthe dropping redundancy of greedy algorithm at the cost of low complexity, and exhibit low sensitivity tonetwork size, heterogeneous span and parameter configuration.

zh-cn	由于命名数据网络(NDN)具有网内缓存特点，任意用户可直接从中间路由节点获取数据，同时，内容提供商也无法得知用户的访问信息。
en-us	Due to the feature of in-network caching in Named Data Networking (NDN), any consumer mightfetch the cached contents from NDN routers, but the content producers have no idea about details of certaincontents being accessed.

zh-cn	针对这些问题，该文结合基于身份的组合公钥和Schnorr签名方法，提出了“三次握手”匿名安全认证协议，同时，采用改进的秘密共享方法来高效分发内容密钥，实现了一种可追溯且轻量级的细粒度访问控制机制(TLAC)，最后，通过实验验证了TLAC机制的高效性。
en-us	Considering these problems, a fine-grained Traceable and Lightweight Access Control(TLAC) scheme is presented. In the TLAC scheme, an anonymous and secure “three-way handshake”authentication protocol is presented by collaboratively leveraging the combined public key and the Schnorr signature, and an improved secret sharing method is used to distribute the key efficiently. Finally, the experimental results prove the efficiency of TLAC scheme.

zh-cn	为了克服云存储不可信及云存储中密文检索效率低的问题，该文提出区块链上基于B+树的密文排序可搜索加密方案。
en-us	In order to overcome the problem that cloud storage is not trusted and the low efficiency ofciphertext retrieval in cloud storage, a searchable ciphertext sorting encryption scheme based on B+ tree on theblock chain is proposed.

zh-cn	该方案结合区块链技术解决了在互不了解的多方建立可靠信任的问题；
en-us	Combined with the blockchain technology, the problem of establishing reliable trust inmultiple parties that do not understand each other is solved.

zh-cn	使用向量空间模型降低了文本的复杂性实现了高效的文本检索系统；
en-us	A vector space model is used to reduce thecomplexity of the text and an efficient text retrieval system is implemented.

zh-cn	采用B+树的索引结构提高了区块链上密文交易的检索速度；
en-us	The index structure of the B+ treeis used to improve the retrieval of ciphertext transactions on the blockchain.

zh-cn	利用加权统计(TF-IDF)算法实现了多关键词查询结果的排序。
en-us	The ranking of multi-keyword query results is realized by the Term Frequency–Inverse Document Frequency (TF-IDF) algorithm.

zh-cn	在随机预言机模型下，证明该方案是适应性不可区分安全的，通过效率对比分析，表明该方案在区块链上实现了高效的密文检索。
en-us	Under the random oracle model, it is proved that the scheme is adaptive and indistinguishable. Through the comparative analysis of efficiency, it is shown that the scheme achieves efficient ciphertext retrieval on the blockchain.

zh-cn	在有重尾的过程噪声和量测噪声的影响下，高斯混合势均衡多目标多伯努利滤波器(GM-CBMeMBer)的滤波性能会明显下降。
en-us	The filtering performance of Gaussian Mixture Cardinality Balanced Multi-target Multi-Bernoulli(GM-CBMeMBer) filter can be effected by the heavy-tailed process noise and measurement noise.

zh-cn	针对上述问题，该文提出一种新的学生 t 混合势均衡多目标多伯努利滤波器(STM-CBMeMBer)。
en-us	To solve thisproblem, a new STudent’s t Mixture Cardinality Balanced Multi-target Multi-Bernoulli (STM-CBMeMBer)filter is proposed.

zh-cn	该滤波器将过程噪声和量测噪声近似为学生 t 分布，并用学生 t 混合模型来近似多目标的先验强度。
en-us	The process noise and measurement noise approximately obey the Student’s t distribution in the filter, where the Student’s t mixture model is used to describe approximately the posterior intensity of the multi-target.

zh-cn	从理论上推导出学生 t 混合形式的预测强度和后验强度，建立了势均衡多目标多伯努利滤波器的闭式递推框架。
en-us	The predictive intensity and posterior intensity of Student’s t mixture form are deduced theoretically, and the closed recursive framework of cardinality balanced multi-target multi-Bernoulli filter is established.

zh-cn	仿真结果表明，在重尾的过程噪声和量测噪声存在的环境中，该滤波器能有效抑制其干扰，相比于传统方法，具有更高的跟踪精度。
en-us	The simulation results show that, in the presence of the heavy-tailed process noise and the measurement noise, the filter can effectively suppress its interference, its tracking accuracy is superior over the traditional methods.

zh-cn	为了提高帧存储的压缩性能，该文提出一种基于方向插值预测变长编码(DIPVLC)的帧存有损压缩算法。
en-us	A lossy frame memory compression algorithm using Direction Interpolation Prediction VariableLength Coding (DIPVLC) is proposed to improve frame memory compression performance.

zh-cn	首先根据自适应纹理方向插值获取参考像素，从而得到预测残差，然后优化率失真模型对预测残差进行量化，最后通过游程哥伦布算法对量化残差进行变长编码。
en-us	Firstly, the prediction residual is obtained by adaptive texture directional interpolation. Then, a new rate-distortion is optimized to quantize prediction residual. Finally, the run length Golomb method is used to entropy coding forquantized residual.

zh-cn	实验结果显示，与内容感知自适应量化(CAAQ)的帧存压缩算法相比，该文算法不但PSNR下降更少，而且压缩率提高了10.05%，同时编码时间减少了10.62%。
en-us	Simulation results show that compared with parallel Content Aware Adaptive Quantization(CAAQ) oriented lossy frame memory recompression for HEVC, the proposed algorithm improves thecompression rate by 10.05% and reduces the encoding time by 10.62% with less PSNR reduction.

zh-cn	GC重量是DNA码的一个重要参数，如何构造满足GC常重量约束的DNA码是一个有趣的问题。
en-us	GC weight is an important parameter of DNA code, and how to meet GC constant weight constraintDNA code is an interesting problem.

zh-cn	该文通过在DNA码与四元码之间建立一个双射，将构造满足GC常重量约束的DNA码转化为构造GC常重量四元码。
en-us	In this paper, by establishing a bijection between DNA code and quaternion code, the DNA code that satisfies the GC constant weight constraint is converted into a GC constant weight quaternary code.

zh-cn	通过代数的方法，构造了3类满足GC常重量约束的DNA码。
en-us	Through the algebraic method, three types of DNA codes that meet theconstant weight constraints of GC are constructed.

zh-cn	针对目前国内矿井目标定位精度低和定位实时性差的现况，该文提出一种基于分布式压缩感知原理构造指纹数据库的方法，
en-us	A method of establishing a fingerprint database, which is based on distributed compressed sensing, isproposed to improve the low positioning accuracy and poor real-time positioning that exist in the current minetarget positioning in China.

zh-cn	该方法在离线阶段只需采集少量巷道中的指纹信息(参考节点ID信息、基于电磁波到达时间(TOA)的距离测量值和实际距离值)，便可高概率重构矿井目标指纹数据库指纹信息，从而达到减少数据采集工作量和提高工作效率的目的。
en-us	Using the method, the fingerprint information of mine target fingerprint database can be reconstructed with high probability by collecting only a few fingerprint information (reference node IDs,Time Of Arrival (TOA) measurements based on electromagnetic wave and actual distance values) in theroadway in the off-line stage. Therefore, the data collection workload can be reduced and the work efficiency can be improved as well.

zh-cn	后续在线阶段，只需获得某时刻参考节点ID信息和目标节点被参考节点测得的实时TOA距离测量值，根据模式匹配方法可获得该时刻目标节点距离参考节点的待估距离值，保证了定位精度和定位实时性。
en-us	In the subsequent on-line stage, according to the pattern matching method, theestimated distance between the target node and the reference nodes at the certain time can be obtained only bygetting the reference node IDs and the real-time TOA measurements measured by the reference nodes at acertain moment, which guarantees the positioning accuracy and positioning real-time performance.

zh-cn	在此基础上，提出一种改进的压缩采样修正匹配追踪算法(CoSaMMP)进行指纹信息重构，该算法利用折半法增大裁剪力度从而有效缩短重构数据时间。
en-us	Based on this method, an improved Compressive Sampling Modifying Matching Pursuit (CoSaMMP) algorithm is proposed to reconstruct the fingerprint information. The algorithm can effectively shorten the reconstruction time by using the folding method to increase the cutting force.

zh-cn	仿真结果表明所提算法的可行性及有效性。
en-us	The simulation results show that the proposedalgorithm is feasible and effective.

zh-cn	网络功能虚拟化(NFV)为服务链构建带来了灵活性与动态性，然而，软件化与虚拟化环境可能存在软件漏洞、后门等安全风险，对服务链(SC)的安全产生影响。
en-us	Network Function Virtualization (NFV) brings flexibility and dynamics to the construction of servicechain. However, the software and virtualization may cause security risks such as vulnerabilities and backdoors, which may have impact on Service Chain (SC) security.

zh-cn	为此，该文提出一种服务链上虚拟网络功能(VNF)调度方法。
en-us	Thus, a Virtual Network Function (VNF) schedulingmethod is proposed.

zh-cn	首先，为虚拟网络功能构建异构镜像池，避免利用共模漏洞的大范围攻击；
en-us	Firstly, heterogeneous images are built for every virtual network function in service chain,avoiding widespread attacks using common vulnerabilities.

zh-cn	随后，以特定周期选择服务链虚拟网络功能进行调度，加载异构镜像对该网络功能的执行实体进行替换；
en-us	Then, one network function is selected dynamically and periodically. The executor of this network function is replaced by loading heterogeneous images.

zh-cn	最后，考虑调度对网络功能性能的影响，应用斯坦科尔伯格博弈对攻防过程建模，以最优化防御者收益为目标求解服务链上各网络功能的调度概率。
en-us	Finally,considering the impact of scheduling on the performance of network functions, Stackelberg game is used tomodel the attack and defense process, and the scheduling probability of each network function in the servicechain is solved with the goal of optimizing the defender’s benefit.

zh-cn	实验表明，该方法能够降低攻击者攻击成功率，同时将调度产生的开销控制在可接受范围内。
en-us	Experiments show that this method canreduce the rate of attacker’s success while controlling the overhead generated by the scheduling within anacceptable range.

zh-cn	密码卡在信息安全领域发挥着重要作用，但当前密码卡存在性能不足的问题，难以满足高速网络安全服务的需要。
en-us	Cipher cards play an important role in the field of information security. However, the performance ofcipher cards are insufficient, and it is difficult to meet the needs of high-speed network security services.

zh-cn	该文提出一种基于MIPS64多核处理器的高速PCIe密码卡的设计与系统实现方法，支持SM2/3/4国产密码(GM)算法以及RSA, SHA, AES等国际密码算法，系统包括硬件模块，密码算法模块，主机驱动模块和接口调用模块；
en-us	Ad esign and system implementation method of high-speed PCIe cipher card based on MIPS64 multi-core processor is proposed, which supports the GM algorithm SM2/3/4 and international cryptographic algorithms, such as RSA, SHA and AES. The implemented system includes module of hardware, cryptographic algorithm,host driver and interface calling.

zh-cn	对SM3的实现提出一种优化方案，性能提升了19%；
en-us	An optimization scheme for the implementation of SM3 is proposed, the performance is improved by 19%.

zh-cn	支持主机以Non-Blocking方式发送请求，单进程应用即可获得密码卡满载性能。
en-us	And the host to send requests in Non-Blocking mode is supported, so a single-process application can get the cipher card’s full load performance.

zh-cn	该卡在10核CPU下SM2签名和验证速度分别为18000次/s和4200次/s, SM3杂凑速度2200 Mbps, SM4加/解密速度8/10 Gbps，多项指标达到较高水平；
en-us	Under 10-core CPU, the speed of SM2signature and verification are 18000 and 4200 times/s, SM3 hash speed is 2200 Mbps, SM4 encryption/decryption speed is 8/10 Gbps, multiple indicators achieve higher level;

zh-cn	采用1300 MHz主频16核CPU时，SM2/3的性能指标提高1倍，采用48核CPU时SM2签名速度可达到105次/s。
en-us	When using 16-core CPU @1300 MHz,SM2/3 performance can be improved by more than 100%, and the speed of SM2 signature could achieve 105times/s with 48-core CPU.

zh-cn	针对无线虚拟化网络在时间域上业务请求的动态变化和信息反馈时延导致虚拟资源分配的不合理，该文提出一种基于长短时记忆(LSTM)网络的流量感知算法，该算法通过服务功能链(SFC)的历史队列信息来预测未来负载状态。
en-us	In order to solve the unreasonable virtual resource allocation caused by the dynamic change of service request and delay of information feedback in wireless virtualized network, a traffic-aware algorithm which exploits historical Service Function Chaining (SFC) queue information to predict future load state based onLong Short-Term Memory (LSTM) network is proposed.

zh-cn	基于预测的结果，联合考虑虚拟网络功能(VNF)的调度问题和相应的计算资源分配问题，提出一种基于最大最小蚁群算法(MMACA)的虚拟网络功能动态部署方法，在满足未来队列不溢出的最低资源需求的前提下，采用按需分配的方式最大化计算资源利用率。
en-us	With the prediction results, the Virtual NetworkFunction (VNF) deployment and the corresponding computing resource allocation problems are studied, and aVNFs’ deployment method based on Maximum and Minimum Ant Colony Algorithm (MMACA) is developed.On the premise of satisfying the minimum resource demand for future queue non-overflow, the on-demandallocation method is used to maximize the computing resource utilization.

zh-cn	仿真结果表明，该文提出的基于LSTM神经网络预测模型能够获得很好的预测效果，实现了网络的在线监测；
en-us	Simulation results show that theprediction model based on LSTM neural network in this paper obtains good prediction results and realizesonline monitoring of the network.

zh-cn	基于MMACA的VNF部署方法有效降低了比特丢失率的同时也降低了整体VNF调度产生的平均端到端时延。
en-us	The Maximum and Minimum Ant Colony Algorithm based VNF deploymentmethod reduces effectively the bit loss rate and the average end-to-end delay caused by overall VNFs’scheduling at the same time.

zh-cn	针对现有频域显著性检测方法得到的显著区域不完整的问题，该文提出一种多尺度分析的频率域显著性检测方法。
en-us	To solve the incompleteness of the salient region obtained by the existing saliency detection methodin the frequency domain, a frequency saliency detection method of multi-scale analysis is proposed.

zh-cn	首先由输入图像特征通道信息构建4元超复数，然后通过小波变换对4元超复数域中幅度谱进行多尺度分解，计算生成多尺度下的视觉显著图，最后由评价函数选出效果较好显著图合成最终视觉显著图。
en-us	Firstly, thequaternion hypercomplex is constructed by the input image feature channels. Then, the multi-scaledecomposition of the quaternion amplitude spectrum is performed by wavelet transform, and the multi-scalevisual saliency map is calculated. Finally, the better saliency map is fused based on the evaluation function, andcentral bias is used to generate the final visual saliency map.

zh-cn	实验结果表明，该文方法能够有效地抑制背景干扰，快速、精确地找到完整的显著目标，具有较高的检测精确度。
en-us	The experimental results show that the proposed method can effectively suppress the background interference, find significant target quickly and accurately, and have high detection accuracy.

zh-cn	针对目前高斯消元法在归零Turbo码长、帧同步等参数识别过程存在容错性能低且计算复杂度高的缺点，该文提出一种低信噪比(SNR)下基于差分似然差(DLD)的识别算法。
en-us	In order to overcome the shortcomings of low fault-tolerance and high computational complexity inthe process of parameter identification such as code length and synchronization of Turbo code, a new algorithmbased on Differential Likelihood Difference (DLD) at low Signal-to-Noise Ratio (SNR) is proposed.

zh-cn	首先通过定义差分似然差的概念，利用归零Turbo码帧头两码元差分似然差为正值(“+”)的特性，构建分析矩阵实现码长的识别；
en-us	Firstly, theconcept of DLD is defined, and the analysis matrix is constructed to identify the code length by using thecharacteristic that the DLD between two codes in Turbo frame terminal is positive ("+");

zh-cn	其次，提出基于最小错误判决准则下的差分似然差“+”位置门限判决方法，完成帧同步；
en-us	Secondly, a methodbased on the minimum error decision criterion to decide DLD "+" position is proposed to complete framesynchronization.

zh-cn	最后，从工程实际出发，遍历寄存器个数的可能值，实现码率、寄存器个数以及交织长度识别。
en-us	From the engineering practice, the possible values of the number of registers are traversed to realize the recognition of the code rate, the number of registers and the interleaving length.

zh-cn	仿真实验表明：所提算法对于归零Turbo码码长、帧同步等参数识别有效，差分似然差“+”位置分布与分析的数据结构特征一致，判决门限能够有效判断差分似然差“+”位置，
en-us	Simulation resultsshow that the proposed algorithm is effective in identifying parameters such as code length and framesynchronization, the position distribution of DLD "+" is consistent with the data structure characteristics of theanalysis, and the threshold can effectively determine the position of DLD "+".

zh-cn	同时，算法容错性能较强，在信噪比为–5 dB条件下，码长、帧同步等参数识别率能够达到90%以上，并且算法的复杂度远小于现有算法。
en-us	At the same time, the algorithmhas strong fault-tolerant performance. Under the condition of SNR –5 dB, the identification of code length,frame synchronization and other parameters can reach more than 90%, and the complexity of the algorithm isfar less than the existing algorithms.

zh-cn	针对差分混沌移位键控(DCSK)传输率低这一缺点，以及为了进一步改善系统的误码性能，该文提出一种短参考正交多用户DCSK(SOM-DCSK)通信系统。
en-us	Considering the shortcomings of Differential Chaos Shift Keying (DCSK) transmission rate and to further improve the system error performance, a Short reference Orthogonal Multiuser DCSK(SOM-DCSK)communication system is proposed.

zh-cn	该系统将参考信号缩短为每个信息承载信号的1/P，通过延迟时间的不同传输多个用户，然后在每个信息时隙中利用希尔伯特变换的正交性达到传输2 bit信息信号的目的。
en-us	The system shortens the reference signal to 1/P of each information bearing signal, and transmits multiple users by different delay times. Then the orthogonality of Hilbert transform isused in each information slot to achieve the purpose of transmitting a two-bit information signal.

zh-cn	该文推导了SOM-DCSK系统在加性高斯白噪声(AWGN)和Rayleigh衰落信道下的比特误码率(BER)公式并进行了实验仿真。
en-us	The BiteError Rate (BER) formula of SOM-DCSK system in Additive White Gaussian Noise (AWGN) and Rayleighfading channel is derived and experimentally simulated.

zh-cn	仿真结果表明：相同条件下，该方案相比于传统多用户系统的误码性能有了明显的改进，具有很好的实用价值。
en-us	The simulation results show that BER of the scheme has obvious improvement compared with the traditional multi-user system under the same conditions, and it has good practical value.

zh-cn	针对分块压缩感知(BCS)重建图像质量较差问题，该文提出一种最小化l0范数的分块压缩感知全变差(TV)正则化迭代阈值图像重构算法(BCS-TVIT)。
en-us	In order to improve the quality of reconstruction image by Block Compressed Sensing (BCS), a TotalVariation Iterative Threshold regularization image reconstruction algorithm (BCS-TVIT) is proposed.

zh-cn	BCS-TVIT算法考虑图像的局部平滑、有界变差等性质，将最小化l0范数与图像的全变差TV正则项结合，构建目标函数。针对目标函数中l0范数项和分块测量约束项无法直接优化问题，采用迭代阈值法使重构图像l0范数最小化，并通过凸集投影保证满足约束条件，完成了目标函数的优化求解。
en-us	Combining the properties of local smoothing and bounded variation of the image, BCS-TVIT uses the minimization l0 norm and total variation to construct the objective function. To solve the problem that l0 norm term and the block measurement constraint can not be optimized directly, the iterative threshold method is used to minimize the l0 norm of the reconstructed image, and the convex set projection is employed to guarantee the block measurement constraint condition.

zh-cn	实验表明，与基于l0范数最小化的分块压缩感知平滑投影算法(BCS-SPL)相比，BCS-TVIT算法重构图像峰值信噪比提高2 dB，能消除BCS-SPL的“亮斑”效应，且在视觉效果上明显优于BCS-SPL算法；
en-us	Experiments show that BCS-TVIT has betterperformance than BCS-SPL in PSNR by 2 dB. Meanwhile, BCS-TVIT can eliminate the “bright spot” effect ofBCS-SPL, having better visual effect.

zh-cn	与最小全变差算法相比，BCS-TVIT算法重构图像峰值信噪比提升1 dB，且能降低重构时间约2个数量级。
en-us	Comparing with the minimum total variation, the proposed algorithm increases PSNR by 1 dB, and the reconstruction time is reduced by two orders of magnitude.

zh-cn	磁感应检测技术是一种非接触、无创的电阻抗检测技术，多频率同步检测可同时获得不同频率下被测对象的阻抗信息。
en-us	Magnetic induction detection technology is a non-contact and non-invasive electrical impedance detection technology. Multi-frequency synchronous detection can simultaneously obtain the impedance information of the tested object at different frequencies.

zh-cn	该文首先研究了磁感应信号多频率同步激励与检测原理，基于Walsh函数合成了5频率激励信号。
en-us	Firstly, the principle of multi-frequency synchronous excitation and detection of magnetic induction signal are studied. Five-frequency excitation signal is synthesized based on Walsh function.

zh-cn	其次分析了合成多频率同步检测性能，设计了合成多频磁感应信号同步检测系统。
en-us	Secondly, the performance of synthesized multi-frequency synchronous detection is analyzed, and a synthesized multi-frequency magnetic induction signal synchronous detection system is designed.

zh-cn	最后，通过合成5频率激励信号与同步检测系统进行不同电导率NaCl溶液的检测实验，
en-us	Finally, the detection experiments of NaCl solution with different conductivities are carried out by synthesizing five-frequency excitation signal and synchronous detection system.

zh-cn	结果表明：合成5频率激励信号5个主谐波的测量结果都具有很好的线性度，为磁感应信号多频率同步检测提供了激励-检测方法。
en-us	The results show that the measurement results of five main harmonics of synthesized five-frequency excitation signal have good linearity.It provides an excitation-detection method for multi-frequency synchronous detection of magnetic induction signal.

zh-cn	针对5G接入网络中虚拟网络功能(VNF)部署完成后，其资源需求发生动态变化，导致网络中物理机(PM)资源利用率过高或过低这一问题，该文首先将网络中PM的资源使用情况划分5个不同分区，提出一种多优先级VNF迁移请求队列调度模型。
en-us	After the Virtual Network Function (VNF) in the 5G access network is deployed, the resource requirements are dynamically changed, resulting in the problem that the Physical Machine (PM) resource utilization in the network is too high or too low. To solve the above problem, the resource usage of PM in the network is divided into five different partitions, and a multi-priority VNF migration request queue scheduling model is proposed.

zh-cn	其次基于该模型，对VNF迁移开销的最小化及网络能耗的最小化建立联合优化模型。
en-us	Secondly, based on the model, a joint optimization model is established to minimize the VNF migration cost and minimize the network energy consumption.

zh-cn	最后提出一种基于5G接入网络的多优先级VNF迁移开销与网络能耗联合优化算法对其进行求解。
en-us	Finally, a multi-priority VNF migration cost and network energy joint optimization algorithm based on 5G access network is presented to solve the above model.

zh-cn	仿真结果表明，该算法在有效实现VNF迁移开销与网络能耗折中的同时，提高了PM资源利用率，保证了PM性能并均衡各PM负载。
en-us	The simulation results show that the algorithm can effectively improve the PM resources utilization, ensure the PM performance and balance the PM load while effectively realizing a compromise between VNF migration cost and network energy consumption.

zh-cn	针对基于LTE信号的外辐射源雷达接收信号包含多个同频发射基站的直达波和多径杂波干扰的问题，该文对传统的外辐射源雷达信号处理流程进行了改进，增加了对同频基站干扰的处理步骤，提出了一种基于卷积混合模型的盲源分离算法来抑制同频基站的杂波干扰。
en-us	For the passive radar based on LTE signal, the received signal contains direct-path and multipathclutters interference of multiple co-channel base station, and the traditional passive radar signal processing flowis improved, and the processing steps of co-channel base station interference are added. A blind source separation algorithm based on convolutive mixtures is proposed. The algorithm can suppress the clutters interference of co-channel base station.

zh-cn	假设混合矩阵是一个矢量线性时不变滤波器矩阵，以互信息为代价函数，通过求取互信息的梯度，用最速下降法进行迭代，分离准则是使分离后的信号之间互信息最小化。
en-us	It is assumed that the mixing matrix is a vector linear time-invariantfilter matrix. The mutual information is used as a cost function. By finding the gradient of mutual information,it is iterated by the steepest descent method. The separation criterion is to minimize the mutual information between the separated signals.

zh-cn	仿真表明，该文算法能够有效地抑制LTE信号同频发射基站的杂波干扰，为后续的主基站杂波对消处理提供了基础。
en-us	The simulation results show that the proposed algorithm can effectively suppress the clutters interference of the LTE signal co-channel base station, and provide a basis for the subsequent clutters cancellation processing of the main base station.

zh-cn	为了满足网络切片多样化需求，实现无线虚拟资源的动态分配，该文提出在C-RAN架构中基于非正交多址接入的联合用户关联和功率资源分配算法。
en-us	To satisfy the diversity of requirements for different network slices and realize dynamic allocation ofwireless virtual resource, an algorithm for network slice joint user association and power allocation is proposedin Non-Orthogonal Multiple Access(NOMA) C-RAN.

zh-cn	首先，该算法考虑在不完美信道条件下，以切片和用户最小速率需求及时延QoS要求、系统中断概率、前传容量为约束，建立在C-RAN场景中最大化长时平均网络切片总吞吐量的联合用户关联和功率分配模型。
en-us	Firstly, by considering imperfect Channel State Information(CSI), a joint user association and power allocation algorithm is designed to maximize the average total throughput in C-RAN with the constraints of slice and user minimum required rate, outage probability and fronthaul capacity limits.

zh-cn	其次，将概率混合优化问题转换为非概率优化问题，并利用Lyapunov优化理论设计一种基于当前时隙的联合用户调度和功率分配的算法。
en-us	Secondly, a joint user association and power allocation algorithm is designed according to the current slot by transforming the probabilistic mixed optimalization problem into a non-probabilistic optimalization problem and using Lyapunov optimization.

zh-cn	最后采用贪婪算法求得用户关联问题次优解；基于用户关联的策略，将功率分配的问题利用连续凸逼近方法将其转换为凸优化问题并采用拉格朗日对偶分解方法获得功率分配策略。
en-us	Finally, for user association problem, agreedy algorithm is proposed to find a feasible suboptimal solution; The power allocation problem is transformed into a convex optimization problem by using successive convex approximation; Then a dual decomposition approach is exploited to obtain a power allocation strategy.

zh-cn	仿真结果表明，该算法能满足各网络切片和用户需求的同时有效提升系统时间平均切片总吞吐量。
en-us	Simulation results demonstrate that the proposed algorithm can effectively improve the average total throughput of system while guaranteeing the network slice and user requirement.

zh-cn	利用Walsh-Hadamard变换可实现2元域含错方程组的求解，该方法可用于卷积码的盲识别，但当方程组未知数较多时，其对计算机内存的要求使得该方法在实际中难以应用，为此该文提出一种基于分段Walsh-Hadamard变换的卷积码识别方法。
en-us	The Walsh-Hadamard transform can be used to solve binary domain error-containing equations, andthe method can be used for blind identification of convolutional codes. However, when the number of system unknowns is large, the requirement of computer memory makes it difficult to apply this method to practice.Therefore, a convolutional code recognition method based on partitioned Walsh-Hadamard transform is proposed.

zh-cn	该方法通过对方程组高维系数向量进行分段，使其转化为两个低维的系数向量，将Walsh-Hadamard变换求解高维方程组的问题分解为求解两个较低维数方程组的问题，同时证明了两个低维方程组解向量的组合就是高维方程组的解。
en-us	By segmenting the high-dimensional coefficient vectors of the equations into two low-dimensional coefficient vectors, the problem of solving the high-dimensional equations by Walsh-Hadamard transformation is decomposed into the problem of solving the two low-dimensional equations, and it is proved that the combination of the solution vectors of the two low-dimensional equations is the solution of the high-dimensional equations.

zh-cn	算法有效减少了对计算机内存的需求，仿真结果验证了该算法的有效性，且算法具有良好的误码适应能力。
en-us	The algorithm reduces effectively the need for computer memory, and the simulation results verifythe effectiveness of the proposed algorithm, and the algorithm has good error code adaptability.

zh-cn	端射阵天线因其低风阻和高增益特性而特别适用于机载雷达的前后向补盲，而天线的前后视放置则不可避免地要面临杂波的距离非平稳问题。
en-us	End-fire array antenna is extremely suitable for forward-looking or backward-looking blindcompensation of airborne radar due to its low wind resistance and high-gain characteristics, while the forward-looking or backward-looking placement of antenna can not avoid the problem of range-dependent clutter.

zh-cn	该文基于端射阵机载雷达杂波谱特性，针对传统空时内插法(STINT)不能直接适用于距离模糊情况下端射阵杂波补偿这一情况，提出一种基于空时内插的端射阵杂波补偿新方法。
en-us	In this paper, in view of the fact that the conventional Space-Time INterpolation Technique(STINT) can not be directly applied to end-fire array clutter compensation in range ambiguity situation, a novel method of end-firearray clutter compensation based on space-time interpolation is proposed based on the characteristics of clutter spectrum for end-fire array airborne radar.

zh-cn	该方法充分考虑了各距离门的模糊杂波，以远程平稳杂波脊主瓣区所对应的圆弧为插值参考子空间并细化了动目标约束的约束对象，实现了对距离模糊情况下端射阵非平稳杂波的有效补偿。
en-us	The method takes full account of the ambiguous clutter of each range gate and takes the arc corresponding to the main lobe of the long-range stationary clutter ridge as the interpolation reference subspace. Furthermore, it also refines the constrained object of moving target constraints, which achieves effective compensation for the non-stationary clutter of end-fire array in range ambiguity situation.

zh-cn	计算机仿真结果验证了该文方法的有效性。
en-us	Computer simulation results verify the effectiveness of the proposed method.

zh-cn	针对多任务场景下的传感器调度问题，该文提出一种面向目标协同检测与跟踪的多传感器调度方法。
en-us	In order to solve the problem of sensor scheduling in the multi-task scenario, a multi-sensor scheduling method for target cooperative detection and tracking is proposed.

zh-cn	首先，该方法基于部分可观马尔科夫决策过程(POMDP)构建传感器调度模型，并基于后验克拉美-罗下界(PCRLB)设计优化目标函数。
en-us	Firstly, the sensor schedulingmodel is built based on the Partially Observable Markov Decision Process (POMDP) and an objective functionis designed based on Posterior Carmér-Rao Lower Bound (PCRLB).

zh-cn	其次，考虑传感器切换时间和目标数目的时变性，采用随机分布粒子计算新生目标的检测概率，给出了固定目标数目和时变目标数目情形下的传感器调度方法。
en-us	Then, considering sensor switching time and the change of target number, the randomly distributed particles are used to calculate the detection probability of new target, and the sensor scheduling methods are given for the situations with fixed target number and time-varying target number.

zh-cn	最后，为满足在线调度的实时性需求，采用自适应多种群协同差分进化(AMCDE)算法求解传感器调度方案。
en-us	At last, to meet the real-time requirement of online scheduling, anAdaptive Multi-swarm Cooperative Differential Evolution (AMCDE) algorithm is used to solve the sensorscheduling scheme.

zh-cn	仿真结果表明，该方法能够有效应对多任务场景，实现多传感器资源的合理调度。
en-us	Simulation results show that the method can effectively deal with multi-task scenarios andrealize reasonable scheduling of multi-sensor resources.

zh-cn	针对深度卷积网络原理分析的问题，该文提出一种基于模型重建的权值可视化方法。
en-us	A method for visualizing the weights of a reconstructed model is proposed to analyze a deep convolutional network works.

zh-cn	首先利用原有的神经网络对测试样本进行前向传播，以获取重建模型所需要的先验信息；
en-us	Firstly, a specific input is used in the original neural network during the forward propagation to get the prior information for model reconstruction.

zh-cn	然后对原本网络中的部分结构进行修改，使其便于后续的参数计算；
en-us	Then some of the structure of the originalnetwork is changed for further parameter calculation.

zh-cn	再利用正交向量组，逐一地计算重建模型的参数；
en-us	After that, the parameters of the reconstructed model arecalculated with a group of orthogonal vectors.

zh-cn	最后将计算所得的参数按照特定的顺序进行重排列，实现权值的可视化。
en-us	Finally, the parameters are put into a special order to make them visualized.

zh-cn	实验结果表明，对于满足一定条件的深度卷积网络，利用该文所提方法重建的模型在分类过程的前向传播运算中与原模型完全等效，并且可以明显观察到重建后模型的权值所具有的特征，从而分析神经网络实现图像分类的原理。
en-us	Experimental results show that the model reconstructed with the proposed method is totally equivalent to the original model during the forward propagation in the classification process. The feature of the weights of the reconstructed model can be observed clearly and the principle of the neural network can be analyzed with the feature.

zh-cn	脑电信号一直被誉为疲劳检测的“金标准”，驾驶者的精神状态可通过对脑电信号的分析得到。
en-us	Electro Encephalo Gram (EEG) is regarded as a “gold standard” of fatigue detection and drivers’ vigilance states can be detected through the analysis of EEG signals.

zh-cn	但由于脑电信号具有非线性、非平稳性和空间分辨率低等特点，传统的机器学习方法在运用脑电信号进行疲劳检测时还存在识别率低，特征提取操作繁琐等不足。
en-us	However, due to the characteristics of non-linear, non-stationary and low spatial resolution of EEG signals, traditional machine learning methods still have the disadvantages of low recognition rate and complicated feature extraction operations in EEG-based fatigue detection task.

zh-cn	为此，该文基于脑电信号的电极-频率分布图，提出运用深度迁移学习实现的驾驶疲劳检测方法，即搭建深度卷积神经网络，并利用SEED脑电情绪数据集对其进行预训练，然后通过迁移学习方法将其用于驾驶疲劳检测。
en-us	To tackle this problem, a fatigue detection method with transfer learning based on theElectrode-Frequency Distribution Maps (EFDMs) of EEG signals is proposed. A deep convolutional neuralnetwork is designed and pre-trained with SEED dataset, and then it is used for fatigue detection with transfer learning strategy.

zh-cn	实验结果表明，卷积神经网络模型能够很好地从电极-频率分布图中获得与疲劳状态相关的特征信息，达到较好的识别效果。
en-us	Experimental results show that the proposed convolutional neural network can automatically obtain vigilance related features from EFDMs, and achieve much better recognition results than traditional  machine learning methods.

zh-cn	此外，基于迁移学习策略可以将训练好的深度网络模型迁移到其他识别任务上，有助于推动脑电信号在驾驶疲劳检测系统中的应用。
en-us	Moreover, based on the transfer learning strategy, this model can also be used for other recognition tasks, which is helpful for promoting the application of EEG signals to the driver fatigue detection system.

zh-cn	网络安全态势要素识别的基础是对态势数据集进行有效的特征提取。
en-us	The basis of the identification of network security situation element is to perform the feature extraction of situation data effectively.

zh-cn	针对反向传播(BP)神经网络对海量安全态势信息数据学习时过度依赖数据标签的问题，该文提出一种结合深度堆栈编码器和反向传播算法的网络安全态势要素识别方法，通过无监督学习算法逐层训练网络，在此基础上堆叠得到深度堆栈编码器，利用编码器提取数据集特征，实现了网络的无监督训练。
en-us	Considering the problem that the Back Propagation(BP) neural networks have excessive dependence on data labels when it has a learning of massive security situation information data, a network security situation element identification method is proposed, which combines deep stack encoder and BP algorithm. It trains the network layer by layer through unsupervised learning algorithm. On this basis the deep track encoder by stacking can be obtained. The unsupervised training of the network is realized when using the encoder to extract the characteristic of the data sets.

zh-cn	仿真实验验证了该方法能有效提升安全态势感知的效能和准确度。
en-us	It is verified by simulation experiments that the method can improve the performance and accuracy of situational awareness effectively.

zh-cn	网络多告警信息融合处理是有效实施网络动态威胁分析的主要手段之一。
en-us	Network multi-alarm information fusion processing is one of the most important methods to implement effectively network dynamic threat analysis.

zh-cn	基于此该文提出一种利用网络系统多告警信息进行动态威胁跟踪与量化分析的机制。
en-us	Focusing on this, a mechanism for dynamic threattracking and quantitative analysis by using network system multi-alarm information is proposed.

zh-cn	该机制首先利用攻击图理论构建系统动态威胁属性攻击图；
en-us	Firstly, theattack graph theory is used to construct the system dynamic threat attribute attack graph.

zh-cn	其次基于权限提升原则设计了前件推断算法(APA)、后件预测算法(CPA)和综合告警信息推断算法(CAIIA)进行多告警信息的融合与威胁分析，生成网络动态威胁跟踪图进行威胁变化态势的可视化展示。
en-us	Secondly, based on the privilege escalation principle, Antecedent Predictive Algorithm(APA), the Consequent Predictive Algorithm(CPA) and the Comprehensive Alarm Information Inference Algorithm(CAIIA) are designed to integrate the multi-alarm information fusion and do threat analysis. Then, the network dynamic threat trackinggraph is generated to visualize the threat change situation.

zh-cn	最后通过实验验证了该机制和算法的有效性。
en-us	Finally, the effectiveness of the mechanism and algorithm is validates through experiments.

zh-cn	近年来，Siamese网络由于其良好的跟踪精度和较快的跟踪速度，在视觉跟踪领域引起极大关注，但大多数Siamese网络并未考虑模型更新，从而引起跟踪错误。
en-us	In recent years, the Siamese networks has drawn great attention in visual tracking community due toits balanced accuracy and speed. However, most Siamese networks model are not updated, which causestracking errors.

zh-cn	针对这一不足，该文提出一种基于双模板Siamese网络的视觉跟踪算法。
en-us	In view of this deficiency, an algorithm based on the Siamese network with double templates is proposed.

zh-cn	首先，保留响应图中响应值稳定的初始帧作为基准模板R，同时使用改进的APCEs模型更新策略确定动态模板T。
en-us	First, the base template R which is the initial frame target with stable response map score and the dynamic template T which is using the improved APCEs model update strategy to determine are kept.

zh-cn	然后，通过对候选目标区域与2个模板匹配度结果的综合分析，对结果响应图进行融合，以得到更加准确的跟踪结果。
en-us	Then, the candidate targets region and the two template matching results are analyzed, meanwhile the result response maps are fused, which could ensure more accurate tracking results.