MAP-Based Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and <inline-formula><graphic file="1687-6180-2007-024717-i1.gif"/></inline-formula>-Norm Minimization

<p/> <p>We address the problem of underdetermined BSS. While most previous approaches are designed for instantaneous mixtures, we propose a time-frequency-domain algorithm for convolutive mixtures. We adopt a two-step method based on a general maximum a posteriori (MAP) approach. In the...

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Bibliographic Details
Main Authors: Kellermann Walter, Winter Stefan, Sawada Hiroshi, Makino Shoji
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://asp.eurasipjournals.com/content/2007/024717