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Title: A new block based time-frequency approach for underdetermined blind source separation
Authors: Chambers, Jonathon
Luo, Yuhui
Lambotharan, Sangarapillai
Issue Date: 2004
Publisher: © IEEE
Citation: CHAMBERS, J., LUO, Y. and LAMBOTHARAN, S., 2004. A new block based time-frequency approach for underdetermined blind source separation. IN: IEEE International Conference on Acoustics, Speech, and Signal Processing, 17-21 May, Volume 5, pp. V - 537-540
Abstract: The problem of underdetermined blind source separation is addressed. The sparse assumption which is commonly required in the current underdetermined blind source separation literature is relaxed. By introducing an advanced clustering technique based upon self-splitting competitive learning, the time-frequency plane is partitioned into appropriate blocks where the number of active sources is no more than the number of sensors, resulting in a novel robust block based algorithm. Simulation studies are presented to support the proposed approach for the separation of GMSK sources.
Description: This is a conference paper [© IEEE]. It is also available from: http://ieeexplore.ieee.org/servlet/opac?punumber=9248. 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/ICASSP.2004.1327166
URI: https://dspace.lboro.ac.uk/2134/5752
ISBN: 0780384849
ISSN: 1520-6149
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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