ID 原文 译文
24575 研究结果可以为叠加涡旋光的调控及应用提供理论参考。 The results of this research can provide a theoretical reference for the regulation and application of superposition vortex beams.
24576 为提高下肢表面肌电信号步态识别的识别精度和计算效率，采用一种基于高斯核函数优化正则化超限学习机（GKF-RELM）算法，对肌电信号提取时域、频域和非线性动力学三类特征并分别计算步态识别率，运用Fisher判别函数分析所提特征的可分性，得到多类特征的融合特征作为输入数据对分类器进行训练，再用训练好的分类器进行步态识别，从识别率和计算时间两方面，分别与支持向量机（SVM）和深度神经网络（DNN）方法进行了对比分析。 To improve the recognition accuracy and computational efficiency of gait recognition for lower extremity surface electromyography (sEMG), the Gaussian kernel function-regularized extreme learning machine (GKF-RELM) algorithm is presented. The features of time domain, frequency domain and non-linear dynamics via sEMG signals are extracted and the corresponding gait recognition rates are calculated, respectively. Fisher discriminant function is utilized to analyze the separability of the proposed features, and the fusion features of multi-class features are obtained as the input data to train the classifiers, and the trained classifier is used for gait recognition. The recognition rate and calculation time are compared with support vector machine (SVM) and deep neural network (DNN).
24577 结果表明，基于 Fisher判别可分性指标确定的多类特征组合，能得到最优识别效果，并在提高分类精度的同时，优化了计算效率。 The results show that the combination of multi-class features based on Fisher discriminant separability index can obtain the optimal recognition effects, and improve the classification accuracy, as well as optimize the calculation efficiency.
24578 此外，GKF-RELM方法的识别率也优于传统的ELM方法。 In addition, the recognition rate of GKF-RELM method is preferable to that of traditional ELM method.
24579 涡旋光是一种携带轨道角动量(Orbital Angular Momentum, OAM)的特殊光束,由于携带不同 OAM 的涡旋光之间相互正交，并且 OAM 无限取值的特性，使得其可为光通信系统提供一个新的物理维度，因此吸引了国内外众多学者的关注。 Optical vortex beam is a special beam that carries orbital angular momentum (OAM). Optical vortex beams with different OAMs are orthogonal to each other, and its numbers are infinite in theory, which can provide a new communication dimension for the optical communication systems. Therefore, it has attracted great attentions of worldwide scholars.
24580 随着 OAM 光通信技术的研究深化，各类 OAM 通信系统得到了飞速发展，但通信系统中的能量利用效率问题却较少受到关注。 With the in-depth investigations of OAM based optical communication technology, various OAM communications ystems have been developed rapidly, but people seldom pay attention to the topic of energy-utilization efficiency in OAM-based communication systems.
24581 本文聚焦近期典型成果中的 OAM 光束的产生、检测以及整体通信系统的能量利用效率，对之进行概括，并对未来OAM光通信系统的能量利用效率的发展趋势及前景进行分析与展望。 This paper focuses on and summarizes energy-utilization efficiencies of OAM's generation, detection, and the energy-utilization efficiency of whole communication systems in recent typical achievements. And the development trends and prospects for the energy-utilization efficiency of the future systems have been analyzed and prospected.
24582 由于在性能和复杂度之间的良好折中，软信息辅助硬判决译码近年来受到了光通信领域的高度关注，其中包括了软信息辅助比特标记（Soft-Aided Bit-Marking, SABM）算法。 Due to a good trade-off between performance and complexity, a new class of decoding schemes, called soft-aided hard-decision (SA-HD) decoders, has become particularly interested to optical communication fields in recent years. Soft-aided bit-marking (SABM) algorithm is one of the popular ones.
24583 为了易于硬件实现，本文基于阶梯码（StaircaseCode, SCC）提出了一种改进型 SABM 算法（improved SABM, iSABM），称为 iSABM-SCC。 To be friendly for hardware implementation, this paper proposes an improved SABM (iSABM) algorithm for staircase codes (SCCs), which we call iSABM-SCC.
24584 iSABM-SCC 利用信道软信息，通过两个可信度阈值将硬判决输出比特标记为三种可信度等级，用以辅助硬判决译码识别译码错误和扩展纠错能力，达到提升阶梯码性能的目的。 With the help of channel soft information, iSABM-SCC marks bits into three types according to their reliabilities using two thresholds. The marked information is then used to assist the staircase decoder to prevent miscorrections and to extend the error-correcting capability, thus improving the performance of SCCs.