| ID | 原文 | 译文 |
| 3703 | 通过仿真实验发现，模拟生成的信号的统计分布与双 Johnson S B 分布能很好地吻合，并且信号的时间自相关能匹配指定的时间自相关函数。 | By performing the simulation experiments, it was found that the sta-tistical distribution of the simulated signals was in excellent agreement with the dual Johnson S B distribution, and thetemporal auto-correlation of the signals matched the given temporal auto-correlation function. |
| 3704 | 仿真结果表明，所提方法能够用于模拟受湍流扰动的 OAM 光通信时域接收信号。 | The results demonstratethat the proposed method can be used to simulate time-domain received signals in OAM optical communications im-paired by turbulence-induced distortions. |
| 3705 | 为了解决定步长 LMS 算法不能同时满足快速收敛和低稳态误差的问题，提出了一种基于改进双曲正切函数的变步长 LMS 算法（IVSSLMS）。 | In order to improve that the LMS algorithm for determining step size cannot satisfy both rapid convergenceand low steady-state misalignment errors, a variable step size algorithm (IVSSLMS) based on an improved hyperbolictangent function was proposed. |
| 3706 | 该算法利用步长反馈因子的二范数和误差信号的相关值来调节步长，克服了定步长算法收敛速度慢及抗噪声能力差的问题； | The step size feedback factor and the correlation value of the error signal were used toadjust the step size, and the problems of slow convergence speed and poor anti-noise ability of the fixed-step size algo-rithm was overcame. |
| 3707 | 并从理论上分析了算法的性能，给出了参数的取值方法。 | The performance and parameters settings of the proposed algorithm were analyzed. |
| 3708 | 仿真实验结果表明，在高/低信噪比条件下，IVSSLMS 算法比已有变步长算法的收敛速度更快、稳态误差更小、系统跟踪能力更优。 | The simulationresults show that IVSSLMS has a faster convergence rate, lower steady-state error and better system tracking capabilitythan the existing variable step size algorithms under high and low SNR conditions. |
| 3709 | 针对大规模时间敏感网络中时间触发流量的确定性时延问题，提出了一种分组调度机制。 | In order to achieve the deterministic delay of time-triggered traffic in a large-scale time-sensitive network, akind of group-scheduling mechanism was proposed. |
| 3710 | 所提机制通过拓扑修剪策略和基于谱聚类的流分组策略，避免了由于网络拓扑规模和流量规模剧增对调度响应速度的影响，提升了调度计算效率。 | By designing a topology pruning strategy and a flow grouping strat-egy based on spectral clustering, the impact of the rapid increase in network topology scale and traffic scale on the speedof scheduling response was avoided, and the scheduling calculation efficiency was improved. |
| 3711 | 仿真实验结果表明，所提机制在大规模调度的场景下，可以在较短时间内进行模型的求解，并且保证一定的调度成功率。 | The results of experimentshow that the mechanism can solve the model in a relatively short time for large-scale scheduling problem and achieve arelatively high scheduling success rate. |
| 3712 | 针对基于深度卷积神经网络的高光谱图像分类算法中存在的空间分辨率下降、池化操作引发特征丢失从而导致分类精度下降的问题，设计了一种由双边融合块构成的双边融合块网络。 | Aiming at the issues of decreasing spatial resolution and feature loss caused by pooling operation in depthCNN-based hyperspectral image classification algorithm, a bilateral fusion block network （DFBN）composed of bilateralfusion blocks was designed. |