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.