Underdetermined blind source separation of temporomandibular joint sounds

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...

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Main Authors:	Clive Cheong Took, Saeid Sanei, Jonathon Chambers, Stephen Dunne
Format:	Default Article
Published:	2006
Subjects:	Mechanical engineering not elsewhere classified Artificial intelligence not elsewhere classified Filtering Nongaussianity Negentropy Sparsity Mechanical Engineering not elsewhere classified Artificial Intelligence and Image Processing
Online Access:	https://hdl.handle.net/2134/5535
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id	rr-article-9562994
record_format	Figshare
spelling	rr-article-95629942006-01-01T00:00:00Z Underdetermined blind source separation of temporomandibular joint sounds Clive Cheong Took (7209485) Saeid Sanei (7207403) Jonathon Chambers (1251609) Stephen Dunne (5006147) Mechanical engineering not elsewhere classified Artificial intelligence not elsewhere classified Filtering Nongaussianity Negentropy Sparsity Mechanical Engineering not elsewhere classified Artificial Intelligence and Image Processing 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. 2006-01-01T00:00:00Z Text Journal contribution 2134/5535 https://figshare.com/articles/journal_contribution/Underdetermined_blind_source_separation_of_temporomandibular_joint_sounds/9562994 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified Artificial intelligence not elsewhere classified Filtering Nongaussianity Negentropy Sparsity Mechanical Engineering not elsewhere classified Artificial Intelligence and Image Processing
spellingShingle	Mechanical engineering not elsewhere classified Artificial intelligence not elsewhere classified Filtering Nongaussianity Negentropy Sparsity Mechanical Engineering not elsewhere classified Artificial Intelligence and Image Processing Clive Cheong Took Saeid Sanei Jonathon Chambers Stephen Dunne Underdetermined blind source separation of temporomandibular joint sounds
description	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.
format	Default Article
author	Clive Cheong Took Saeid Sanei Jonathon Chambers Stephen Dunne
author_facet	Clive Cheong Took Saeid Sanei Jonathon Chambers Stephen Dunne
author_sort	Clive Cheong Took (7209485)
title	Underdetermined blind source separation of temporomandibular joint sounds
title_short	Underdetermined blind source separation of temporomandibular joint sounds
title_full	Underdetermined blind source separation of temporomandibular joint sounds
title_fullStr	Underdetermined blind source separation of temporomandibular joint sounds
title_full_unstemmed	Underdetermined blind source separation of temporomandibular joint sounds
title_sort	underdetermined blind source separation of temporomandibular joint sounds
publishDate	2006
url	https://hdl.handle.net/2134/5535
_version_	1797196002950643712

Underdetermined blind source separation of temporomandibular joint sounds

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