A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures. (24th September 2006) - Suyama Suyama, Ricardo Ricardo
Abstract : We propose a method for source separation of convolutive mixture based on nonlinear prediction-error filters. This approach converts the original problem into an instantaneous mixture problem, which can be solved by any of the several existing methods in the literature. We employ fuzzy filters to implement the prediction-error filter, and the efficacy of the proposed method is illustrated by some examples.