Title :
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
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;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2006.882068
