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11

TSP
2008

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Complex ICA Using Nonlinear Functions

13 years 4 months ago

Complex ICA Using Nonlinear Functions

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We introduce a framework based on Wirtinger calculus for nonlinear complex-valued signal processing such that all computations can be directly carried out in the complex domain. The two main approaches for performing independent component analysis, maximum likelihood, and maximization of non-Gaussianity--which are intimately related to each other--are studied using this framework. The main update rules for the two approaches are derived, their properties and density matching strategies are discussed along with numerical examples to highlight their relationships.

Tülay Adali, Hualiang Li, Mike Novey, J.-F. C

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Independent Component Analysis | Main Update Rules | Nonlinear Complex-valued Signal | TSP 2008 |

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Added	16 Dec 2010
Updated	16 Dec 2010
Type	Journal
Year	2008
Where	TSP
Authors	Tülay Adali, Hualiang Li, Mike Novey, J.-F. Cardoso

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