Based on the second order statistics, an algorithm is proposed to separate mixed complex-value signals online.
基于二阶统计量，对在线分离复值混合信号法进行了研究。
A time-domain Multi-Stage Algorithm(MSA) based on the second order statistics for blind source separation of convolutive mixtures is proposed.
该文提出一种基于二阶统计量的时域多步分解算法求解卷积混合盲源分离问题。
The responses of plate on elastic half-space foundation under loads are analyzed by PFSEM and MATLAB is used to program second order statistics of displacement of plate.
采用随机有限元-无穷元耦合模型分析弹性半空间地基板在载荷下的响应题目是可行的；
It explores the second order statistics of fading envelopes influenced by nonisotropic scattering environments with light-of-sight (LOS), and USES an AR model for channel simulation.
在研究接收信号(含直射和方向性散射)复包络二阶统计特性的基础上，采用AR模型对信道进行仿真。
The algorithm avoids the singular decomposition that commonly used in off-line calculation, and only the second order statistics of the signals is used, so the algorithm has low computing cost.
该算法避免了离线计算所采用的特征值分解等复杂运算，并且只利用信号的二阶统计量信息，计算工作量低。
Some methods of SEMG signal pretreatment based on blind source separation using second order statistics were proposed for noise separation and the elementary decomposition of multi-channel SEMG.
采用基于二阶统计量的盲源分离算法对多导表面肌电信号进行处理，实现噪声的分离和表面肌电信号的初步分解。
The method used to receive signals directly SVD decomposition in this paper, in order to avoid the original received signal second-order statistics, reducing the system's computational complexity.
文中采用的方法直接对接收信号进行SVD分解，避免了原文中求接收信号的二阶统计量，降低了系统的计算量。
The algorithm has less computation process and higher computation precision than the traditional blind equalization method based on second-order statistics.
该算法具有比传统的基于二阶统计的盲均衡算法的计算过程和计算精度较高。
In this paper, the problem of blind identification and blind equalization of digital communication systems based on the second-order statistics (SOS) are addressed.
本文主要介绍了基于二阶统计量(SOS)的数字通信系统的盲辨识和盲均衡。
However, if the source signals have temporal structures, only the second-order statistics can work well.
如果源信号具有时序结构，仅使用二阶统计量信息就可以很好地分离源信号。
Based on the first and the second order of image statistics characteristics, the adaptive visible image contrast enhancement method is presented.
提出了一种基于图像一阶、二阶统计特性的自适应可见光图像对比度增强方法。
Such as parameter estimation types of statistics distribution tests of distribution hypothesis methods of linear-second order moment, ect.
数理统计学原理主要包括：参数估计、统计分布类型、分布拟合检验； 工程结构可靠度理论主要介绍了一次二阶矩方法。
Such as parameter estimation types of statistics distribution tests of distribution hypothesis methods of linear-second order moment, ect.
数理统计学原理主要包括：参数估计、统计分布类型、分布拟合检验； 工程结构可靠度理论主要介绍了一次二阶矩方法。
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