A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures

We propose a method for source separation of convolutive mixturebased on nonlinear prediction-error filters. This approachconverts the original problem into an instantaneous mixtureproblem, which can be solved by any of the several existingmethods in the literature. We employ fuzzy filters to implem...

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Bibliographic Details
Published in:EURASIP journal on advances in signal processing 2007-01, Vol.2007 (1), p.043860, Article 043860
Main Authors: Suyama, Ricardo, Duarte, Leonardo Tomazeli, Ferrari, Rafael, Rangel, Leandro Elias Paiva, Attux, Romis Ribeirode Faissol, Cavalcante, Charles Casimiro, Von Zuben, Fernando José, Romano, João Marcos Travassos
Format: Article
Language:English
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Summary:We propose a method for source separation of convolutive mixturebased on nonlinear prediction-error filters. This approachconverts the original problem into an instantaneous mixtureproblem, which can be solved by any of the several existingmethods in the literature. We employ fuzzy filters to implementthe prediction-error filter, and the efficacy of the proposedmethod is illustrated by some examples.
ISSN:1687-6180
1687-6172
1687-6180
DOI:10.1155/2007/43860