DocumentCode :
760709
Title :
Underdetermined Blind Source Separation of Temporomandibular Joint Sounds
Author :
Clive Cheong Took ; Sanei, S. ; Chambers, J. ; Dunne, S.
Author_Institution :
Sch. of Eng., Cardiff Univ.
Volume :
53
Issue :
10
fYear :
2006
Firstpage :
2123
Lastpage :
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) sounds
Keywords :
bioacoustics; biological tissues; blind source separation; independent component analysis; medical signal processing; FastICA algorithm; filtering approach; lscr1-norm algorithm; mixing matrix estimate; source recovery; temporomandibular joint sounds; underdetermined blind source separation; Acoustic noise; Additive noise; Biomedical engineering; Blind source separation; Filtering; Independent component analysis; Signal detection; Signal generators; Source separation; Sparse matrices; Filtering; negentropy; nongaussianity; sparsity; Algorithms; Auscultation; Diagnosis, Computer-Assisted; Humans; Sound; Sound Spectrography; Temporomandibular Joint; Temporomandibular Joint Disorders;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2006.881789
Filename :
1703766
Link To Document :
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