Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
The 34th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Oct-Nov. 2002, Fukuoka)
A Robust Algorithm for Blind Separation of Convolutive Mixture of Sources
Satoshi NAKASHIMAKiyotoshi MATSUOKA
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2003 Volume 2003 Pages 84-89

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Abstract
Conventional algorithms for blind source separation do not necessarily work well for real-world data. One of the conceivable reasons is that, in actual applications, the mixing matrix is often almost singular at some part of frequency range and it can cause a certain computational instability. This paper proposes a new algorithm to overcome this problem. The algorithm is based on the minimal distortion principle proposed by the authors and in addition incorporates a kind of regularization term into it, which has a role to suppress the gain of the separator for the frequency range at which the mixing matrix is almost singular.
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© 2003 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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