Blind Separation Algorithm Based on Covariance Matrix

Abstract

Abstract: A novel linear mixture blind separation algorithm is proposed in this paper, which is based on the character that the covariance m atrix is diagonal matrix when signals are independent, and it is used as a separation contrast. The restriction of this algorithm is not too much and the computation is not large. Theory analysis and simulation results show that the separation effect is very good.

摘要： 提出了一种新的实时线性混叠信号的盲分离算法，该算法利用信号相互独立时其协方差矩阵的对角化特征作为分离准则，采用最速下降法进行分离。该算法对源信号和混叠矩阵没有过多要求且计算量不大，理论分析与仿真结果表明，该算法具有很好的分离效果。

关键词: 盲分离, 协方差, 最速下降法

CLC Number:

TN911

QIN Heren,XIE Shengli. Blind Separation Algorithm Based on Covariance Matrix[J]. , 2003, 29(08): 40-42.

覃和仁,谢胜利. 基于协方差矩阵的盲分离算法[J]. , 2003, 29(08): 40-42.

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URL: https://www.ecice06.com/EN/Y2003/V29/I08/40

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