ID 原文 译文
19645 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。 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.
19646 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， 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 "+".
19647 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。 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.
19648 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。 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.
19649 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。 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.
19650 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。 The BiteError Rate (BER) formula of SOM-DCSK system in Additive White Gaussian Noise (AWGN) and Rayleighfading channel is derived and experimentally simulated.
19651 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。 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.
19652 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)。 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.
19653 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。 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.
19654 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； 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.