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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...
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| Veröffentlicht in: | EURASIP J Adv Signal Process |
|---|---|
| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer International Publishing
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6434991/ https://ncbi.nlm.nih.gov/pubmed/30996728 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13634-018-0565-5 |
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