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Bayesian Compressive Sensing of Sparse Signals with Unknown Clustering Patterns
We consider the sparse recovery problem of signals with an unknown clustering pattern in the context of multiple measurement vectors (MMVs) using the compressive sensing (CS) technique. For many MMVs in practice, the solution matrix exhibits some sort of clustered sparsity pattern, or clumpy behavio...
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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514728/ https://ncbi.nlm.nih.gov/pubmed/33266961 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21030247 |
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