ID	原文	译文
57308	在材料损伤的检测和评价时，为了在大量接收信号中识别有效声发射信号，提出了一种基于小波包特征提取的损伤声信号神经网络识别方法，首先利用小波包全局分解的优势，准确提取非平稳信号的特征信息，建立相应特征向量，对有效声发射信号和干扰噪声信号进行表征;	In the testing and evaluation of material damage，in order to identify effective acoustic emis- sion ( AE) signals among a large number of received signals，a neural network recognition method based on wavelet packet feature extraction is proposed. Firstly，the advantage of wavelet packet global decompo- sition is used to accurately extract the feature information from non-stationary signals，so，the correspond- ing feature vectors are established to characterize effective AE signals and interfering noise signals.
57309	然后根据特征向量和识别输出要求，建立了 3 层结构的反向传播神经网络对信号进行分析和识别，滤除噪声信号，保留有效声发射信号;	Then， according to feature vectors and recognition output requirements，a three-layer back propagation neural network is established to analyze and identify signals，which could filter out noise signals and retain effec- tive AE signals.
57310	最后，在玻璃钢复合材料的声发射实验中，采集了 400 组信号对该方法进行验证，准确性达到 97.	Finally，400 sets of AE signals are collected in the experiment of glass fiber reinforced plastics to verify the method. The collected AE signals are identified with an accuracy of 97.
57311	5% ，能够满足工程需要	5% ，which can meet requirements of engineering.
57312	针对多簇且每个簇包含任意用户的下行非正交多址接入( NOMA) 系统，提出了一种最大化系统能量效率的功率分配方案.	A power allocation scheme to maximize energy efficiency is proposed for downlink non-orthogonal multiple access( NOMA) system with multiple clusters and each cluster containing arbitrarily user.
57313	首先推导了满足所有用户连续干扰消除需求的情况下，单个用户及单个簇所需的最低功率，建立最大化系统能量效率的用户间功率分配优化问题，	Firstly，the minimum powers required for a single user and a single cluster are derived to meet successive interference can- cellation. The optimization problem of power allocation among users is established to maximize the energy effi- ciency of the system.
57314	然后采用二分法求解最大化单个簇内能量效率的功率分配优化问题，基于该结论将最大化系统能量效率的用户间功率分配优化问题转换为簇间功率分配优化问题，	Then，the power allocation optimization problem of maximizing the energy efficiency of a single cluster is solved by using bisection method. Based on this conclusion，the optimization problem of power allocation among users to maximize the energy efficiency of the system is transformed into the optimization problem of power allocation among clusters.
57315	最后给出了一种迭代的簇间功率分配方案，并根据簇间功率分配的结果为单个用户分配功率.	Finally，the power for each user is obtained according to the inter- cluster power allocation，which is get by an iterative scheme.
57316	仿真结果表明，所提方案的系统能量效率高于相同场景中的已有方案	Simulations show that the energy efficiency of the proposed scheme is better than that of the existing scheme in the same scenario.
57317	为了满足第 6 代移动通信系统对编码调制的更高要求，提出了基于星座成形的超奈奎斯特传输方案.	In order to approach higher requirements of coding and modulation for the sixth generation of mobile communications system，a faster than Nyquist( FTN) transmission scheme based on constellation shaping is proposed.