An overview of independent component analysis and its applications

Naik, G and Kumar, D 2011, 'An overview of independent component analysis and its applications', Informatica, vol. 35, no. 1, pp. 63-81.


Document type: Journal Article
Collection: Journal Articles

Title An overview of independent component analysis and its applications
Author(s) Naik, G
Kumar, D
Year 2011
Journal name Informatica
Volume number 35
Issue number 1
Start page 63
End page 81
Total pages 19
Publisher Slovensko Drustvo Informatika
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.
Subject Artificial Intelligence and Image Processing not elsewhere classified
Keyword(s) Blind source separation
Independent component analysis
Multi run ICA
Non-gaussianity
Overcomplete ICA
Undercomplete ICA
ISSN 0350-5596
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