Constrained ICA and applications

The thesis begins with proposing a unified approach to perform complete ICA, the uICA, for Blind Source Separation (BSS). Three major ICA algorithms are investigated and shown to fall into this approach. They differ only from the nonlinear functions used in the learning rules.

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Main Author: Lu, Wei.
Other Authors: Rajapakse, Jagath Chandana
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/2382
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-2382
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spelling sg-ntu-dr.10356-23822019-12-10T14:56:37Z Constrained ICA and applications Lu, Wei. Rajapakse, Jagath Chandana School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences The thesis begins with proposing a unified approach to perform complete ICA, the uICA, for Blind Source Separation (BSS). Three major ICA algorithms are investigated and shown to fall into this approach. They differ only from the nonlinear functions used in the learning rules. Doctor of Philosophy (SCE) 2008-09-17T09:01:41Z 2008-09-17T09:01:41Z 2003 2003 Thesis http://hdl.handle.net/10356/2382 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Lu, Wei.
Constrained ICA and applications
description The thesis begins with proposing a unified approach to perform complete ICA, the uICA, for Blind Source Separation (BSS). Three major ICA algorithms are investigated and shown to fall into this approach. They differ only from the nonlinear functions used in the learning rules.
author2 Rajapakse, Jagath Chandana
author_facet Rajapakse, Jagath Chandana
Lu, Wei.
format Theses and Dissertations
author Lu, Wei.
author_sort Lu, Wei.
title Constrained ICA and applications
title_short Constrained ICA and applications
title_full Constrained ICA and applications
title_fullStr Constrained ICA and applications
title_full_unstemmed Constrained ICA and applications
title_sort constrained ica and applications
publishDate 2008
url http://hdl.handle.net/10356/2382
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