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.

Bibliographic Details
Main Author: Guo, Yin Chao.
Other Authors: Lim, Mong King
Format: Thesis
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/5771
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author Guo, Yin Chao.
author2 Lim, Mong King
author_facet Lim, Mong King
Guo, Yin Chao.
author_sort Guo, Yin Chao.
collection NTU
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.
first_indexed 2024-10-01T02:29:08Z
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institution Nanyang Technological University
last_indexed 2024-10-01T02:29:08Z
publishDate 2008
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spelling ntu-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
spellingShingle DRNTU::Engineering::Bioengineering
Guo, Yin Chao.
Independent Component Analysis (ICA) and applications to blind source separation of temporomandibular (TMJ) sound signals
title 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_short 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
topic DRNTU::Engineering::Bioengineering
url http://hdl.handle.net/10356/5771
work_keys_str_mv AT guoyinchao independentcomponentanalysisicaandapplicationstoblindsourceseparationoftemporomandibulartmjsoundsignals