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Active source selection using gap statistics for underdetermined blind source separation

Luo, Y and Chambers, J (2003) Active source selection using gap statistics for underdetermined blind source separation

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Abstract

We address the problem of automatically determining the number of active sources in underdetermined blind source separation (BSS). A time-frequency approach to underdetermined BSS is exploited to discriminate the time-frequency structure of the measured mixtures. To determine the number of active sources over an observation interval, an advanced clustering technique based on gap statistics is proposed. Simulation studies are presented to support the proposed approach. © 2003 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Luo, YUNSPECIFIEDUNSPECIFIED
Chambers, Jj.a.chambers@surrey.ac.ukUNSPECIFIED
Date : 1 January 2003
Identification Number : 10.1109/ISSPA.2003.1224659
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:27
Last Modified : 17 May 2017 13:27
URI: http://epubs.surrey.ac.uk/id/eprint/839266

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