Blind source separation using higher-order statistics

Blind source separation using higher-order statistics

In this thesis, we focus on the signal processing foundations of this emerging field of fundamental research with a broad range of applications. Specifically, we develop blind algorithms for estimating a set of signals of which only instantaneous linear mixtures are observed.

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Bibliographic Details
Main Author: Ziauddin Muhammed Kamran.
Other Authors: Abdul Rahim Leyman
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/4096
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Institution: Nanyang Technological University
Description
Summary:In this thesis, we focus on the signal processing foundations of this emerging field of fundamental research with a broad range of applications. Specifically, we develop blind algorithms for estimating a set of signals of which only instantaneous linear mixtures are observed.

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