基于二阶统计量，对在线分离复值混合信号法进行了研究。
Based on the second order statistics, an algorithm is proposed to separate mixed complex-value signals online.
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。
A time-domain Multi-Stage Algorithm(MSA) based on the second order statistics for blind source separation of convolutive mixtures is proposed.
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。
In this paper, the problem of blind identification and blind equalization of digital communication systems based on the second-order statistics (SOS) are addressed.
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。
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.
它基于接收信号的二阶统计量，并用长时积分以弥补信噪比低的问题。
The proposed algorithm is based on second order moment, and the problem of low SNR is compensated by long time integral.
它基于接收信号的二阶统计量，并用长时积分以弥补信噪比低的问题。
The proposed algorithm is based on second order moment, and the problem of low SNR is compensated by long time integral.
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