Underdetermined Blind Source Separation of Temporomandibular Joint Sounds
Authors:
- Clive Cheong TookCTClive Cheong Took
- S. SaneiSSS. Sanei
- J. ChambersJCJ. Chambers
- S. DunneSDS. Dunne
Open Access
- 18 September 2006
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering
- Vol. 53 (10) , 2123-2126
Abstract
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 lscr 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) soundsKeywords
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