Enhanced sampling schemes for MCMC based blind Bernoulli–Gaussian deconvolution
نویسندگان
چکیده
منابع مشابه
Enhanced sampling schemes for MCMC based blind Bernoulli-Gaussian deconvolution
This paper proposes and compares two new sampling schemes for sparse deconvolution using a Bernoulli-Gaussian model. To tackle such a deconvolution problem in a blind and unsupervised context, the Markov Chain Monte Carlo (MCMC) framework is usually adopted, and the chosen sampling scheme is most often the Gibbs sampler. However, such a sampling scheme fails to explore the state space efficient...
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ژورنال
عنوان ژورنال: Signal Processing
سال: 2011
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2010.08.009