Abstract
This paper deals with the blind source separation problem in convolutive mixtures when the sources are colored processes. In this case, classical methods first extract the innovation processes of the sources and then color them, which yields two successive filter approximations. On the contrary, we propose here a new concept allowing to directly extract estimates of the colored sources in one step.
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© 2001 Springer-Verlag Berlin Heidelberg
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Abrard, F., Deville, Y. (2001). Blind Source Separation in Convolutive Mixtures: A Hybrid Approach for Colored Sources. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_97
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DOI: https://doi.org/10.1007/3-540-45723-2_97
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Print ISBN: 978-3-540-42237-2
Online ISBN: 978-3-540-45723-7
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