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.
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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: Adali, T., Jutten, C., Romano, J.M.T., Barros, A.K. (eds) Independent Component Analysis and Signal Separation. ICA 2009. Lecture Notes in Computer Science, vol 5441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00599-2_12
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DOI: https://doi.org/10.1007/978-3-642-00599-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00598-5
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