Asymptotic performance of contrast-based Blind Source Separation algorithms

被引：6

作者：

Albera, L ^{[1
]}

Comon, P ^{[1
]}

机构：

[1] THALES Commun, F-92231 Gennevilliers, France

来源：

SAM2002: IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/SAM.2002.1191037

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

For several years, contrast-based Blind Source Separation (BSS) has been successfully used in several areas, including radiocommunications. Here a functional approach relying on differential calculus theory is proposed, aiming at analyzing asymptotic performances of BBS contrast criteria: the variance of the estimated separating matrix is expressed as a function of that of estimated cumulants. As an example, this paper focuses on three widely used fourth order (FO) contrast criteria. This allows to quantify the behavior of these three separators for large samples.

引用

页码：244 / 248

页数：5

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