2005•Unpublished venueRequires access

Decorrelation: sufficnet for convolutive blind source separation?

Jiangtao Xi, D. -M. Mei, J. Chicharo, Fuliang Yin

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Abstract

This paper considers blind separation of signal sources in a convolutive mixing environment. It tries to show that decorrelation is sufficient for separation of convolutively mixed sources. Two algorithms are also proposed and tested by computer simulations.

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What this paper is about

This paper considers blind separation of signal sources in a convolutive mixing environment. It tries to show that decorrelation is sufficient for separation of convolutively mixed sources. Two algorithms are also proposed and tested by computer simulations.

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Available abstract

This paper considers blind separation of signal sources in a convolutive mixing environment. It tries to show that decorrelation is sufficient for separation of convolutively mixed sources. Two algorithms are also proposed and tested by computer simulations.

Key concepts: Decorrelation, Blind signal separation, Computer science, Source separation, Separation (statistics), SIGNAL (programming language), Algorithm, Speech recognition

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