Convolutive Blind Signal Separation Based on Asymmetrical Contrast Functions

Authors:
E. Moreau;J.-C. Pesquet;N. Thirion-Moreau
Affiliations:
Telecommun. Dept., Univ. du Sud Toulon Var, La Valette Du Var;-;-
Venue:
IEEE Transactions on Signal Processing
Year:
2007

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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