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Application of Independent Component Analysis With Adaptive Density Model to Complex-Valued fMRI Data

✍ Scribed by Hualiang Li, ; Correa, N. M.; Rodriguez, P. A.; Calhoun, V. D.; Adali, T.


Book ID
126998192
Publisher
IEEE
Year
2011
Tongue
English
Weight
892 KB
Volume
58
Category
Article
ISSN
0018-9294

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## Abstract Independent component analysis (ICA) is an approach to solve the blind source separation problem. In the original and extended versions of ICA, nonlinearity functions are fixed to have specific density forms such as super‐Gaussian or sub‐Gaussian, thereby limiting their performance when