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Proceedings Paper

ICA through a Fisher game
Author(s): Ravi C. Venkatesan
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Paper Abstract

A principled theoretical framework for a novel probabilistic source separation model for lattice data is derived using an invariant extension of the Extreme Physical Information (EPI) theory. The pdf’s of the estimated sources are parameterized by a unique ansatz that satisfies the invariant EPI (IEPI) game corollary. The mixing and unmixing matrices are described by unitary operators that diagonalize the Fisher information matrix, expressed in dimensionless form through application of the ansatz. The discrete IEPI source separation model is ascribed a quantum mechanical connotation.

Paper Details

Date Published: 28 March 2005
PDF: 12 pages
Proc. SPIE 5818, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks III, (28 March 2005); doi: 10.1117/12.603382
Show Author Affiliations
Ravi C. Venkatesan, Systems Research Corp. (India)


Published in SPIE Proceedings Vol. 5818:
Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks III
Harold H. Szu, Editor(s)

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