Independent Component Analysis Theory and Applications

Independent Component Analysis Theory and Applications / by Te-Won Lee.

Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, blind source separation by ICA has received considerable attention because of its potential signal-processing applications su...

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Bibliographic Details
Main Author: Te-Won Lee (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1998.
Edition:1st ed. 1998.
Series:Springer eBook Collection.
Subjects:
Artificial intelligence.
Signal processing.
Image processing.
Speech processing systems.
Statistical physics.
Dynamical systems.
Electronic resources (E-books)
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