Constrained ICA and applications

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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Bibliographic Details
Main Author: Lu, Wei.
Other Authors: Rajapakse, Jagath Chandana
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Online Access:http://hdl.handle.net/10356/2382
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Institution: Nanyang Technological University
Description
Summary: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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