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A filtering approach to underdetermined blind source separation with application to temporomandibular disorders

Took, CC, Sanei, S and Chambers, J (2006) A filtering approach to underdetermined blind source separation with application to temporomandibular disorders ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 3.

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Abstract

This paper addresses the underdetermined blind source separation problem, using a filtering approach. We have developed an extension of the FastICA algorithm which exploits the disparity in the kurtoses of the underlying sources to estimate the mixing matrix and thereafter the recovery of the sources is achieved by employing the ℓ1-norm algorithm. Also, we demonstrate how promising FastICA can be to extract the sources, without utilizing the ℓ1-norm algorithm. Furthermore, we illustrate how this scenario is particularly suitable to the separation of the temporomandibular joint (TMJ) sounds, crucial in the diagnosis of temporomandibular disorders (TMDs). © 2006 British Crown Copyright.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
AuthorsEmailORCID
Took, CCUNSPECIFIEDUNSPECIFIED
Sanei, SUNSPECIFIEDUNSPECIFIED
Chambers, JUNSPECIFIEDUNSPECIFIED
Date : May 2006
Identification Number : https://doi.org/10.1109/ICASSP.2006.1660856
Depositing User : Symplectic Elements
Date Deposited : 01 Mar 2017 12:29
Last Modified : 01 Mar 2017 12:30
URI: http://epubs.surrey.ac.uk/id/eprint/744119

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