Blind separation of mixture of independent sources through a quasi-maximum likelihood approach

We propose two methods for separating mixture of independent sources without any precise knowledge of their probability distribution. They are obtained by considering a maximum likelihood (ML) solution corresponding to some given distributions of the sources and relaxing this assumption afterward. T...

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Veröffentlicht in:IEEE transactions on signal processing 1997-07, Vol.45 (7), p.1712-1725
Hauptverfasser: Dinh Tuan Pham, Garat, P.
Format: Artikel
Sprache:eng
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