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2004
Springer

Blind Signal Separation of Convolutive Mixtures: A Time-Domain Joint-Diagonalization Approach

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Blind Signal Separation of Convolutive Mixtures: A Time-Domain Joint-Diagonalization Approach
We address the blind source separation (BSS) problem for the convolutive mixing case. Second-order statistical methods are employed assuming the source signals are non-stationary and possibly also non-white. The proposed algorithm is based on a joint-diagonalization approach, where we search for a single polynomial matrix that jointly diagonalizes a set of measured spatiotemporal correlation matrices. In contrast to most other algorithms based on similar concepts, we define the underlying cost function entirely in the time-domain. Furthermore, we present an efficient implementation of the proposed algorithm which is based on fast convolution techniques.
Marcel Joho
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where ICA
Authors Marcel Joho
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