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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Format: | Thesis |
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2008
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Online Access: | http://hdl.handle.net/10356/5771 |
_version_ | 1811676920055595008 |
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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 |
format | Thesis |
id | ntu-10356/5771 |
institution | Nanyang Technological University |
last_indexed | 2024-10-01T02:29:08Z |
publishDate | 2008 |
record_format | dspace |
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 |