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Title: Active source selection using Gap statistics for underdetermined blind source separation
Authors: Luo, Yuhui
Chambers, Jonathon
Issue Date: 2003
Publisher: © IEEE
Citation: LUO, Y. and CHAMBERS, J.A., 2003. Active source selection using Gap statistics for underdetermined blind source separation. IN: Proceedings of 2003 7th International Symposium on Signal Processing and Its Applications (ISSPA 2003), Paris, France, 1-4 July, Vol. 1, pp. 137-140.
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.
Description: This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/ISSPA.2003.1224659
URI: https://dspace.lboro.ac.uk/2134/5912
ISBN: 0-7803-7946-2
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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