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.

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4096
record_format	dspace
spelling	sg-ntu-dr.10356-40962023-07-04T16:48:33Z Blind source separation using higher-order statistics Ziauddin Muhammed Kamran. Abdul Rahim Leyman School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing 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. Master of Engineering 2008-09-17T09:44:20Z 2008-09-17T09:44:20Z 2000 2000 Thesis http://hdl.handle.net/10356/4096 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Ziauddin Muhammed Kamran. Blind source separation using higher-order statistics
description	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.
author2	Abdul Rahim Leyman
author_facet	Abdul Rahim Leyman Ziauddin Muhammed Kamran.
format	Theses and Dissertations
author	Ziauddin Muhammed Kamran.
author_sort	Ziauddin Muhammed Kamran.
title	Blind source separation using higher-order statistics
title_short	Blind source separation using higher-order statistics
title_full	Blind source separation using higher-order statistics
title_fullStr	Blind source separation using higher-order statistics
title_full_unstemmed	Blind source separation using higher-order statistics
title_sort	blind source separation using higher-order statistics
publishDate	2008
url	http://hdl.handle.net/10356/4096
_version_	1772825658540425216

Blind source separation using higher-order statistics

Similar Items