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Published in 2022 at "IEEE Transactions on Signal Processing"
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…
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Keywords:
mixtures sparse;
sparse signal;
gaussian mixtures;
sampling bernoulli ... See more keywords