ICA through a Fisher game

Ravi C. Venkatesan

doi:10.1117/12.603382

28 March 2005 ICA through a Fisher game

Ravi C. Venkatesan

Proceedings Volume 5818, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks III; (2005) https://doi.org/10.1117/12.603382
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

Ravi C. Venkatesan "ICA through a Fisher game", Proc. SPIE 5818, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks III, (28 March 2005); https://doi.org/10.1117/12.603382

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