Efficient Sampling of Bernoulli-Gaussian-Mixtures for Sparse Signal Restoration
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DOI: 10.1109/tsp.2022.3223775
Abstract: This paper introduces a new family of prior models called Bernoulli-Gaussian-Mixtures (BGM), with a view to efficiently address sparse linear inverse problems or sparse linear regression, in the Bayesian framework. The BGM family is based… read more here.
Keywords: mixtures sparse; sparse signal; gaussian mixtures; sampling bernoulli ... See more keywords