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Underdetermined blind source separation of temporomandibular joint sounds

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journal contribution
posted on 27.11.2009, 16:27 by Clive Cheong Took, Saeid Sanei, Jonathon Chambers, Stephen Dunne
The underdetermined blind source separation problem using a filtering approach is addressed. An extension of the FastICA algorithm is devised which exploits the disparity in the kurtoses of the underlying sources to estimate the mixing matrix and thereafter achieves source recovery by employing the 1-norm algorithm. Besides, we demonstrate how promising FastICA can be to extract the sources. Furthermore, we illustrate how this scenario is particularly appropriate for the separation of temporomandibular joint (TMJ) sounds.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

TOOK, C.C. ... et al., 2006. Underdetermined blind source separation of temporomandibular joint sounds. IEEE Transactions on Biomedical Engineering, 53(10), pp. 2123-2126.

Publisher

© IEEE

Version

VoR (Version of Record)

Publication date

2006

Notes

This article was published in the journal IEEE Transactions on Biomedical Engineering [© IEEE] and 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.

ISSN

0018-9294;1558-2531

Language

en