Enhanced sampling schemes for MCMC based blind Bernoulli-Gaussian deconvolution

DOI10.1016/j.sigpro.2010.08.009zbMath1217.94048OpenAlexW1977113601MaRDI QIDQ551594

Yong-Cai Geng, Sumit K. Garg

Publication date: 21 July 2011

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.08.009

zbMATH Keywords

Markov chain Monte Carlo methodsblind deconvolutionBernoulli-Gaussian model

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Learning and adaptive systems in artificial intelligence (68T05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (2)

Bayes in action in deep learning and dictionary learning ⋮ Enhanced sampling schemes for MCMC based blind Bernoulli-Gaussian deconvolution

Cites Work

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• Joint Segmentation of Multivariate Astronomical Time Series: Bayesian Sampling With a Hierarchical Model
• From Bernoulli–Gaussian Deconvolution to Sparse Signal Restoration
• Monte Carlo strategies in scientific computing

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