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Título: | Joint Bayesian separation and restoration of cosmic microwave background from convolutional mixtures |
Autor: | Kayabol, K; Sanz, J. L.; Herranz, D. CSIC ORCID ; Kuruoglu, E. E.; Salerno, E. | Fecha de publicación: | 2011 | Editor: | Wiley-Blackwell | Citación: | Monthly Notices of the Royal Astronomical Society 415(2): 1334-1342 (2011) | Resumen: | 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. | URI: | http://hdl.handle.net/10261/51966 | DOI: | 10.1111/j.1365-2966.2011.18783.x | Identificadores: | doi: 10.1111/j.1365-2966.2011.18783.x issn: 0035-8711 e-issn: 1365-2966 |
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Joint Bayesian separation.pdf | 950,68 kB | Adobe PDF | Visualizar/Abrir |
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