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A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures

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.

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Correspondence to Ricardo Suyama.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Suyama, R., Duarte, L.T., Ferrari, R. et al. A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures. EURASIP J. Adv. Signal Process. 2007, 043860 (2006). https://doi.org/10.1155/2007/43860

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