Adaptive langevin sampler for separation of t-distribution modelled astrophysical maps

IEEE Transactions on Image Processing

Volumn 19, Issue 9, 2010, Pages 2357-2368

  Kayabol, Koray ^a   Kuruoǧlu, Ercan E ^a   Sanz, José Luis ^b   Sankur, Blent ^c   Salerno, Emanuele ^a   Herranz, Diego ^b  

^a ISTI CNR   (Italy)

^b UNIVERSITY OF CANTABRIA   (Spain)

^c BOGAZICI UNIVERSITY   (Turkey)

Author keywords

Astrophysical images; Bayesian source separation; Langevin stochastic equation; Markov Chain Monte Carlo (MCMC); MetropolisHastings; multichannel denoising; student's t distribution

Indexed keywords

ASTROPHYSICAL IMAGES; BAYESIAN; LANGEVIN; MARKOV CHAIN MONTE CARLO; METROPOLISHASTINGS; MULTI-CHANNEL;

BAYESIAN NETWORKS; MARKOV PROCESSES; MONTE CARLO METHODS; NOISE POLLUTION CONTROL; SAMPLING; SIGNAL ANALYSIS; STOCHASTIC SYSTEMS; STUDENTS;

ASTROPHYSICS;

EID: 77955807413     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2048613     Document Type: Article

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