New criteria for blind signal separation

Abstract

The problem of multichannel blind signal deconvolution is considered. The mixing system is supposed to be stable and invertible and the input signals, also called sources, are assumed zero-mean independent and identically distributed (IID) random signals. Using the hypothesis that sources are statistically independent, we propose a generalization to the convolutive case of some separation criteria available in the instantaneous one. Hence, we obtain a new generalized class of criteria for signal deconvolution.