Istituto di Scienza e Tecnologie dell'Informazione     
Kayabol K., Sanz J. L., Herranz D., Kuruoglu E. E., Salerno E. Joint Bayesian separation and restoration of cosmic microwave background from convolutional mixtures. In: Monthly Notices of the Royal Astronomical Society, vol. 415 (2) pp. 1334 - 1342. Wiley, 2011.
We propose a Bayesian approach to joint source separation and restoration for astrophysical diffuse sources. We constitute a prior statistical model for the source images by using their gradient maps.We assume a t-distribution for the gradient maps in different directions, because it is able to fit both smooth and sparse data. A Monte Carlo technique, called Langevin sampler, is used to estimate the source images and all the model parameters are estimated by using deterministic techniques.
URL: http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2966.2011.18783.x/pdf
DOI: 10.1111/j.1365-2966.2011.18783.x
Subject Astrophysical component separation
J.2 Physical sciences and engineering. Astronomy

Icona documento 1) Download Document PDF

Icona documento Open access Icona documento Restricted Icona documento Private


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional