University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A new block based time-frequency approach for underdetermined blind source separation

Luo, Y, Lambotharan, S and Chambers, JA (2004) A new block based time-frequency approach for underdetermined blind source separation

Full text not available from this repository.

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Luo, YUNSPECIFIEDUNSPECIFIED
Lambotharan, SUNSPECIFIEDUNSPECIFIED
Chambers, JAj.a.chambers@surrey.ac.ukUNSPECIFIED
Date : 27 September 2004
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/839257

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800