Abstract
This chapter shows that different theories recently proposed for ICA lead to the same iterative learning algorithm for blind separation of mixed independent sources. Those theories are reviewed and it is suggested that information theory can be used to unify several lines of research.
Good order is the foundation of all things
Edmund Burke
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© 1998 Springer Science+Business Media Dordrecht
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Lee, TW. (1998). A Unifying Information-Theoretic Framework for ICA. In: Independent Component Analysis. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2851-4_3
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DOI: https://doi.org/10.1007/978-1-4757-2851-4_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5056-7
Online ISBN: 978-1-4757-2851-4
eBook Packages: Springer Book Archive