ID 原文 译文
53507 通过检测器与译码器两个处理器内部及全局的信息混合调度改善系统性能。 The performance can be improved by scheduling the internal message and global message of the detector and the decoder.
53508 与 MAP 检测比，该算法以较低的复杂度获得良好的性能，因子图检测特有的并行调度在硬件快速实现上更具优势。 Compared with MAP detector, the proposed algorithm has good performance and the parallel schedule has more advantages in fast hardware implementations.
53509 介绍了自动变步长分块最小均方（Block Least Mean Square，BLMS）自适应均衡算法。 This paper introduces a block least mean square (BLMS) algorithm with automatic variable step.
53510 通过自动变更步长，改善了算法的收敛与稳态误差性能。 By automatic variable step method, its performances of convergence and stable error are improved.
53511 针对改进后的快速 BLMS 算法硬件实现特点，对其中采用重叠保留法的快速傅里叶变换（Fast Fourier Transformation，FFT）模块，进行了优化，降低了该算法的计算复杂度。相关仿真表明，该算法能在典型多径高速传输环境下能快速收敛，并接近理想性能，且跟踪信道的性能较好，部分 FFT 计算过程还得到优化。故该算法在保证性能的基础上，还减少了计算资源，具有较大工程实践意义。 According to the features of the implementation of the improved variable step fast BLMS algorithm, the Fast Fourier Transformation (FFT) module with overlap saving method is optimized for realization. Thus it reduces the computation complexity and saves much computation resources, which make it very efficient in practice, especially in resource limited multi-path high data-rate wireless communications.
53512 针对判决反馈均衡器在低信噪比时存在误差传递、高信噪比时均衡效果好的特点，对窄带短波单音串行数据通信，在提出时变信道系数 VCC-DDEA 和判决反馈 VCC-DDEA（DFE-VCC-DDEA）信道均衡算法的基础上，研究了利用实时信噪比估计指导信道均衡方式动态切换的 DS-VCC-DDEA 算法。 In allusion to the excellent performance for high SNR and error spread for low SNR, DS-VCC-DDEA is researched based on the proposition of VCC-DDEA and DFE-VCC-DDEA in Narrow-Band HF(High Frequency) single serial tone data communication, which is realized by switching the equalization algorithm between VCC-DDEA and DFE-VCC-DDEA guided by the real-time SNR estimation from the current frame.
53513 该算法摒弃了传统 DDEA 算法中信道系数在一帧数据范围内恒定的假设，结合判决反馈均衡器的优点，可获取到信道均衡整体性能的提高。 DS-VCC-DDEA not only abandons the hypothesis that the channel coefficients is constant for DDEA in the frame, but also avoids the short-back of DFE equalizer, and can fetch the integral performance improvement for different SNR.
53514 仿真结果验证了DS-VCC-DDEA 相对 DDEA、VCC-DDEA 和 DFE-VCC-DDEA 算法的优越性。 Simulation validates its advantage to DDEA, VCC-DDEA and DFE-VCC-DDEA.
53515 在有限数据条件下，提出了一种基于数据分段处理和重叠保留的改进循环谱密度估计算法，给出了算法实现的具体步骤，并从改进前后循环谱估计方差、抑制噪声能力和可靠性、分辨率几个方面详细分析了改进算法的性能，推导了相应的表达式。 An innovatory cyclic spectrum estimation algorithm is proposed based on data division and overlap reservation in limited data length. The procedure is given and the performance of the algorithm is analyzed from the point of estimation variance, the ability of restraining noise, resolution and reliability, and the expression is deduced.
53516 得出了改进算法能够减小循环谱密度估计的方差，在低信噪比时能更有效地抑制噪声对信号循环谱的影响的结论。 It is deduced that the innovatory algorithm can reduce the cyclic spectrum estimation variance and the influence of noise on signal’s cyclic spectrum.