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
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;
Conference_Titel :
System Theory, 2002. Proceedings of the Thirty-Fourth Southeastern Symposium on
Print_ISBN :
0-7803-7339-1
DOI :
10.1109/SSST.2002.1027042
