PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Kayabol K., Bedini L., Bonaldi A., Salerno E., Ricciardi S., Kuruoglu E. E. MCMC correlated component analysis in Fourier domain. Internal note, 2009.
 
 
Abstract
(English)
We develop a Markov Chain Monte Carlo (MCMC) version of the Fourier domain Correlated Component Analysis (CCA) method. The MCMC version allow us to calculate the estimation error. However, an adaptive temperature and random walk step size parameter update rules are proposed for Metropolis scheme. The algorithm tested on astrophysical component separation problem.
Subject Blind source separation
Correlated component analysis
Markov Chain Monte Carlo
J.2 Physical sciences and engineering
I.4 Image Processing and Computer Vision
65Cxx Probabilistic methods, simulation and stochastic differential equations


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