A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics

Abstract

We present a general broadband approach to blind source separation (BSS) for convolutive mixtures based on second-order statistics. This avoids several known limitations of the conventional narrowband approximation, such as the internal permutation problem. In contrast to traditional narrowband approaches, the new framework simultaneously exploits the… (More)
DOI: 10.1109/TSA.2004.838775

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