GRADIENT ALGORITHM FOR REFERENCE-BASED CUBIC CONTRAST FUNCTION IN A DEFLATION SCENARIO

被引：0

作者：

Brahim, Fadoua ^{[1
]}

Dubroca, Remi ^{[1
]}

De Luigi, Christophe ^{[1
]}

Moreau, Eric ^{[1
]}

机构：

[1] Univ Sud Toulon Var, ISITV, CNRS, LSEET UMR 6017, F-83162 La Valette Du Var, France

来源：

2011 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) | 2011年

关键词：

Contrast Functions; Blind Source Extraction; Higher Order Statistics; Gradient Optimization; MULTICHANNEL BLIND DECONVOLUTION; MIMO CONVOLUTIVE MIXTURE; SEPARATION; CRITERIA;

D O I：

暂无

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：

The paper deals with the problem of blind source separation of a MIMO convolutive mixture by a deflation procedure. A criterion based on high order statistics and showing a cubic dependence w.r.t. the unknown equalizer parameters has been recently proposed. In order to optimize efficiently this criterion in a classical deflation scenario, we propose a new algorithm based on a fixed step size gradient. Computer simulations illustrate the good behavior and the usefulness of our algorithm in comparison with other approaches.

引用

页码：293 / 296

页数：4

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