Independent Component Analysis (ICA) and applications to blind source separation of temporomandibular (TMJ) sound signals

The thesis is a proposed new method for blind source separation using non-casual filters. It also discussed the problem of BSS in the frequency domain.

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Bibliographic Details
Main Author:	Guo, Yin Chao.
Other Authors:	Lim, Mong King
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Bioengineering
Online Access:	http://hdl.handle.net/10356/5771
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-5771
record_format	dspace
spelling	sg-ntu-dr.10356-57712023-03-11T17:17:34Z Independent Component Analysis (ICA) and applications to blind source separation of temporomandibular (TMJ) sound signals Guo, Yin Chao. Lim, Mong King School of Mechanical and Production Engineering DRNTU::Engineering::Bioengineering The thesis is a proposed new method for blind source separation using non-casual filters. It also discussed the problem of BSS in the frequency domain. Master of Engineering (MPE) 2008-09-17T10:58:44Z 2008-09-17T10:58:44Z 2000 2000 Thesis http://hdl.handle.net/10356/5771 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Bioengineering
spellingShingle	DRNTU::Engineering::Bioengineering Guo, Yin Chao. Independent Component Analysis (ICA) and applications to blind source separation of temporomandibular (TMJ) sound signals
description	The thesis is a proposed new method for blind source separation using non-casual filters. It also discussed the problem of BSS in the frequency domain.
author2	Lim, Mong King
author_facet	Lim, Mong King Guo, Yin Chao.
format	Theses and Dissertations
author	Guo, Yin Chao.
author_sort	Guo, Yin Chao.
title	Independent Component Analysis (ICA) and applications to blind source separation of temporomandibular (TMJ) sound signals
title_short	Independent Component Analysis (ICA) and applications to blind source separation of temporomandibular (TMJ) sound signals
title_full	Independent Component Analysis (ICA) and applications to blind source separation of temporomandibular (TMJ) sound signals
title_fullStr	Independent Component Analysis (ICA) and applications to blind source separation of temporomandibular (TMJ) sound signals
title_full_unstemmed	Independent Component Analysis (ICA) and applications to blind source separation of temporomandibular (TMJ) sound signals
title_sort	independent component analysis (ica) and applications to blind source separation of temporomandibular (tmj) sound signals
publishDate	2008
url	http://hdl.handle.net/10356/5771
_version_	1761781170907906048

Independent Component Analysis (ICA) and applications to blind source separation of temporomandibular (TMJ) sound signals

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