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Probabilistic formulation of independent vector analysis using complex gaussian scale mixtures

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5441 90-97
DOI: 10.1007/978-3-642-00599-2_12
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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. © Springer-Verlag Berlin Heidelberg 2009.

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Palmer, J. A., Kreutz-Delgado, K., & Makeig, S. (2009). Probabilistic formulation of independent vector analysis using complex gaussian scale mixtures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5441, pp. 90–97). https://doi.org/10.1007/978-3-642-00599-2_12

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