Convolutive Blind Signal Separation Based on Asymmetrical Contrast Functions

Author

Moreau, Eric ; Pesquet, Jean-Christophe ; Thirion-Morèau, Nadege

Author_Institution

Telecommun. Dept., Univ. du Sud Toulon Var, La Valette Du Var

Volume

55

Issue

1

fYear

2007

Firstpage

356

Lastpage

371

Abstract

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

Keywords

MIMO communication; blind source separation; convolution; higher order statistics; numerical analysis; asymmetrical contrast functions; asymptotic normality aspects; classical contrast functions; convolutive blind signal separation; convolutive mixtures; flexible asymmetric forms; high-order statistics; numerical simulations; source separation approach; Blind equalizers; Blind source separation; Frequency; Higher order statistics; MIMO; Numerical simulation; Reactive power; Recursive estimation; Source separation; Statistical analysis; Asymptotic statistics; blind source separation; contrast function; higher order statistics; multiple-input–multiple-output (MIMO) equalization; performance analysis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2006.882068

Filename

4034207