Separation of a class of convolutive mixtures: a contrast function approach
Carine Simon, Philippe Loubaton, Christophe Vignat, Christian Jutten, Guy d’Urso · 1999
In this paper, we address the problem of the separation of convolutive mixtures in the case where the non-Gaussian source signals are not necessarily filtered versions of i.i.d. sequences. In this context, we show that the contrast functions, used in the linear process source case, still allow to separate the sources by a deflation approach. Some particular properties of higher order cumulants based contrast functions are also given.