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Improved iterative shrinkage-thresholding for sparse signal recovery via Laplace mixtures models
In this paper, we propose a new method for support detection and estimation of sparse and approximately sparse signals from compressed measurements. Using a double Laplace mixture model as the parametric representation of the signal coefficients, the problem is formulated as a weighted ℓ(1) minimiza...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434991/ https://www.ncbi.nlm.nih.gov/pubmed/30996728 http://dx.doi.org/10.1186/s13634-018-0565-5 |