Convolutive blind signal separation boased on asymmetrical contrast functions

被引:11
作者
Moreau, Eric
Pesquet, Jean-Christophe
Thirion-Moreau, Nadege
机构
[1] Univ Sud Toulon Var, ISITV, Telecommun Dept, F-83162 La Valette Du Var, France
[2] Univ Marne Le Vallee, Inst Gaspard Monge, F-77454 Marne La Vallee 2, France
[3] Univ Marne Le Vallee, CNRS, UMR 8049, F-77454 Marne La Vallee 2, France
关键词
asymptotic statistics; blind source separation; contrast function; higher order statistics; multiple-input-multiple-output (MIMO) equalization; performance analysis;
D O I
10.1109/TSP.2006.882068
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 consider the blind signal separation problem for convolutive mixtures, in the real case. More precisely, we present a generalization of classical contrast functions to more flexible asymmetric forms. We provide several examples of these new criteria which are useful for sources having different high-order statistics. We also perform a statistical study of the proposed source separation approach, including both the consistency and the asymptotic normality aspects. These theoretical results are also confirmed by numerical simulations.
引用
收藏
页码:356 / 371
页数:16
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