ADAPTIVE BLIND SEPARATION OF INDEPENDENT SOURCES - A DEFLATION APPROACH

被引：351

作者：

DELFOSSE, N ^{[1
]}

LOUBATON, P ^{[1
]}

机构：

[1] TELECOM PARIS,DEPT SIGNAL,F-75634 PARIS 13,FRANCE

来源：

SIGNAL PROCESSING | 1995年 / 45卷 / 01期

关键词：

SOURCE SEPARATION; HIGH ORDER STATISTICS; ADAPTIVE ALGORITHMS; STOCHASTIC APPROXIMATION; DEFLATION; STATISTICAL PERFORMANCE;

D O I：

10.1016/0165-1684(95)00042-C

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we address the adaptive blind source separation of independent sources using higher order statistics. Although this problem was considered in numerous works, none of the existing algorithms is guaranteed to converge to a relevant solution. Here, we propose a new separation scheme whose convergence is proved analytically. It is based on the observation that it is possible to extract one of the source signals by a simple algorithm obtained by extending to the source separation context some of the ideas developed by Shalvi-Weinstein in the framework of blind deconvolution. A low cost deflation procedure allows the extraction of the other source signals by means of the same algorithm. A statistical study of the performance of the new method is also presented.

引用

页码：59 / 83

页数：25

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