Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2382
Title: Constrained ICA and applications
Authors: Lu, Wei.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2003
Abstract: 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.
URI: http://hdl.handle.net/10356/2382
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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