- Research Article
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A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures
EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 043860 (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.
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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
- Information Technology
- Quantum Information
- Original Problem
- Source Separation
- Prediction Approach