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A New Constrained Independent Component Analysis Method

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2 Author(s)
De-Shuang Huang ; Chinese Acad. of Sci., Hefei ; Jian-Xun Mi

Constrained independent component analysis (cICA) is a general framework to incorporate a priori information from problem into the negentropy contrast function as constrained terms to form an augmented Lagrangian function. In this letter, a new improved algorithm for cICA is presented through the investigation of the inequality constraints, in which different closeness measurements are compared. The utility of our proposed algorithm is demonstrated by the experiments with synthetic data and electroencephalogram (EEG) data.

Published in:

Neural Networks, IEEE Transactions on  (Volume:18 ,  Issue: 5 )

Date of Publication:

Sept. 2007

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