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
收藏
页码：293 / 296
页数：4
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