ID 原文 译文
56068 转移LT(shifted Luby transform,SLT)码是信源依据接收端的反馈信息进行的LT(Luby transform,LT)编码方法,这种编码方法可以有效地减少解码所需要的数据包个数,由此,本文针对基于单次反馈SLT码的信道纠错码与信息传递(message propagation,MP)联合译码方法,对原有的转移鲁棒孤立子分布(shifted robust soliton distribution,SRSD)函数进行改进得到适合MP联合译码的扩展转移鲁棒孤立子分布(expand shifted robust soliton distribution,ESRSD)函数。 Transfer LT (shifted Luby transform, SLT) code is a source on the basis of feedback at the receiving end of LT (Luby transform, LT) coding method, this coding method can effectively reduce the number of packets needed to decode a result, in this paper, based on a single feedback SLT code channel error correction code and information transfer (message propagation, MP) joint decoding method, the transfer of the original distribution of robust soliton (shifted robust soliton distribution, SRSD) function was improved for MP joint decoding the extension of the transfer of robust soliton distribution (expand shifted robust soliton distribution, ESRSD) function.
56069 将本文提出的ESRSD用于MP联合译码方案分别与LT码、反馈SRSD MP联合译码相比,实验结果显示,采用本文提出的ESRSD进行编码在MP译码所需要数据包的个数最少。 Will ESRSD for MP joint decoding scheme proposed in this paper, respectively, compared with LT codes, feedback SRSD MP joint decoding, the experimental results showed that using the proposed ESRSD encoded in MP decoding the number of packets needed to a minimum.
56070 针对现有直觉模糊核c-均值(intuitionistic fuzzy kernel c-means,IFKCM)聚类算法对初始值敏感、易陷入局部最优解及收敛速度慢等缺陷,汲取了粒子群优化(particle swarm optimization,PSO)算法优势,对初始聚类中心进行优化,提出了基于粒子群优化的直觉核c-均值(particle swarm-based intuitionistic fuzzy kernel c-means,PS-IFKCM)聚类算法,选取4组标准数据集实际样本数据对算法的有效性进行了试验。 In view of the existing intuitionistic fuzzy nuclear c - average (intuitionistic fuzzy kernel c - means, IFKCM) clustering algorithm is sensitive to the initial value, easy to fall into local optimal solution and the defects such as slow convergence speed, drawing the particle swarm optimization (particle swarm optimization, PSO) algorithm advantage, optimize the initial clustering center, was proposed based on particle swarm optimization intuition nuclear c - average (particle swarm - -based intuitionistic fuzzy kernel c - means, PS - IFKCM) clustering algorithm, selecting 4 samples of standard data sets the actual data to test the effectiveness of the algorithm.
56071 最后选取弹道中段目标识别常用的雷达截面积(radar cross section,RCS)这一特征属性进行弹道中段目标识别仿真实验,并将其与模糊c-均值(fuzzy c-means,FCM)算法、IFKCM算法的识别效果及运行时间进行比较分析,表明了该算法应用于弹道中段目标识别的有效性及优越性。 Lastly, ballistic midcourse commonly used radar target recognition cross-sectional area (radar cross section, the RCS) this feature attributes, ballistic midcourse target recognition simulation experiment with the fuzzy c - average (fuzzy c - means, FCM algorithm, IFKCM algorithm of the recognition effect and operation time for comparative analysis, shows that the algorithm is applied to the effectiveness and superiority of ballistic midcourse target recognition.
56072 多普勒波束锐化(Doppler beam sharpening,DBS)技术可以快速地对广阔地面场景进行成像,但存在成像分辨率不高的问题。 Doppler beam sharpening (Doppler beam sharpening, DBS) technology can be quickly carried out on the vast ground scene imaging, but has the problem of imaging resolution is not high.
56073 简单介绍了DBS的成像原理,建立了方位向超分辨的信号模型,并在此基础上提出一种新的超分辨广域成像算法。 Simple introduced the DBS imaging principle, has established the orientation to the super resolution signal model, and based on this, advances a new super resolution wide-area imaging algorithm.
56074 该算法将脉压后的回波信号建模为一系列不同多普勒频率散射点的叠加,利用幅度相位估计(amplitude and phase estimation,APES)方法对脉压后的数据进行多普勒分析,进行方位向的成像。 The algorithm will be after the echo signal of pulse pressure is modeled as a series of different doppler frequency scattering point of overlay, using phase amplitude estimation (amplitude and phase estimation, APES) method for pulse pressure after analyzing doppler data, the azimuth of the imaging.
56075 仿真结果与实测数据表明,所提算法可以获得清晰的广域超分辨图像。 The simulation results with the measured data show that the proposed algorithm can get a clear wide-area super resolution image.
56076 动态系统的故障传播过程是由离散事件、连续特性及其相互作用共同驱动的,具有显著的混杂特征,为故障规律认知与建模带来了较大的难度。 Fault propagation of dynamic system is composed of discrete event driven, continuous features and their interaction, with significant mixed characteristics, for cognition and the fault modeling has brought great difficulty.
56077 现有研究将故障视为离散随机事件,分析由单元随机故障发生到系统失效的离散故障过程,却忽略了连续特性对故障传播的影响,本质上是对故障混杂传播的工程简化处理,不能真实地描述动态系统的故障规律。 Existing research regard failure as a discrete random events, by a unit, and analysis of the failure happened to the system failure process of discrete fault, but ignore the effect of continuous characteristics of fault propagation, is essentially a simplify the processing of fault of mixed transmission project, can't really describe the failure rule of dynamic system.