DocumentCode
2137198
Title
A survey paper on independent component analysis
Author
Leach, Keshia N.
Author_Institution
Dept. of Electr. & Comput. Eng., North Carolina Univ., Charlotte, NC, USA
fYear
2002
fDate
2002
Firstpage
239
Lastpage
242
Abstract
Independent component analysis (ICA) is a statistical and computational technique for revealing hidden or underlying factors in data. The independent components or sources can be found using ICA provided that all components are independent and non-Gaussian.
Keywords
maximum likelihood estimation; minimisation; principal component analysis; statistical analysis; independent component analysis; maximum likelihood estimation; minimization; mixing matrix; nonGaussianity; statistical technique; Application software; Blind source separation; Data analysis; Decorrelation; Independent component analysis; Principal component analysis; Random variables; Signal processing; Source separation; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 2002. Proceedings of the Thirty-Fourth Southeastern Symposium on
ISSN
0094-2898
Print_ISBN
0-7803-7339-1
Type
conf
DOI
10.1109/SSST.2002.1027042
Filename
1027042
Link To Document