Conference
A fMRI Data Analysis Method using a Fast Infomax-Based ICA Algorithm
Abstract
Independent Component Analysis (ICA) is a new technique in signal processing to extract statistically independent components from the observed multidimensional mixture of data. In this field, many algorithms have been proposed. In this paper, an infomax-based fast algorithm for ICA is proposed, using information maximum likelihood estimation with the Newton iterative algorithm. The algorithm is second-order convergent. We specifically applied …
Authors
Yao D; Chen H; Becker S; Zhou T; Zhuo Y; Chen L
Volume
2
Pagination
pp. 1105-1110
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2001
DOI
10.1109/ccece.2001.933596
Name of conference
Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)