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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Detalles Bibliográficos
Autores principales: Shekaramiz, Mohammad, Moon, Todd K., Gunther, Jacob H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514728/
https://www.ncbi.nlm.nih.gov/pubmed/33266961
http://dx.doi.org/10.3390/e21030247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514728/
https://www.ncbi.nlm.nih.gov/pubmed/33266961
http://dx.doi.org/10.3390/e21030247

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