A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures
Ricardo Suyama, Leonardo Tomazeli Duarte, Rafael Ferrari, Leandro Elias Paiva Rangel, Romis Attux, Charles C. Cavalcante, Fernando José Von Zuben, João Marcos Travassos Romano · EURASIP Journal on Advances in Signal Processing · 2006
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.