An overview of independent component analysis and its applications

Naik, GR

An overview of independent component analysis and its applications

Naik, GR

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Publication Type:: Journal Article
Citation:: Informatica (Ljubljana), 2011, 35 (1), pp. 63 - 81
Issue Date:: 2011-04-07

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Field	Value	Language
dc.contributor.author	Naik, GR https://orcid.org/0000-0003-1790-9838	en_US
dc.date.issued	2011-04-07	en_US
dc.identifier.citation	Informatica (Ljubljana), 2011, 35 (1), pp. 63 - 81	en_US
dc.identifier.issn	0350-5596	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27581
dc.description.abstract	Independent Component Analysis (ICA), a computationally efficient blind source separation technique, has been an area of interest for researchers for many practical applications in various fields of science and engineering. This paper attempts to cover the fundamental concepts involved in ICA techniques and review its applications. A thorough discussion of the applications and ambiguities problems of ICA has been carried out.Different ICA methods and their applications in various disciplines of science and engineering have been reviewed. In this paper, we present ICA methods from the basics to their potential applications to serve as a comprehensive single source for an inquisitive researcher to carry out research in this field.	en_US
dc.relation.ispartof	Informatica (Ljubljana)	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	An overview of independent component analysis and its applications	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	35	en_US
utslib.for	090609 Signal Processing	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	35	en_US

Abstract:

Independent Component Analysis (ICA), a computationally efficient blind source separation technique, has been an area of interest for researchers for many practical applications in various fields of science and engineering. This paper attempts to cover the fundamental concepts involved in ICA techniques and review its applications. A thorough discussion of the applications and ambiguities problems of ICA has been carried out.Different ICA methods and their applications in various disciplines of science and engineering have been reviewed. In this paper, we present ICA methods from the basics to their potential applications to serve as a comprehensive single source for an inquisitive researcher to carry out research in this field.

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http://hdl.handle.net/10453/27581