Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures

Authors:
Jason A. Palmer;Ken Kreutz-Delgado;Scott Makeig
Affiliations:
Swartz Center for Computational Neuroscience,;Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA 92093;Swartz Center for Computational Neuroscience,
Venue:
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Year:
2009

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Abstract

We propose a probabilistic model for the Independent Vector Analysis approach to blind deconvolution and derive an asymptotic Newton method to estimate the model by Maximum Likelihood.