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Exact recovery of sparse multiple measurement vectors by [Formula: see text] -minimization
The joint sparse recovery problem is a generalization of the single measurement vector problem widely studied in compressed sensing. It aims to recover a set of jointly sparse vectors, i.e., those that have nonzero entries concentrated at a common location. Meanwhile [Formula: see text] -minimizatio...
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| Publicado no: | J Inequal Appl |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5762816/ https://ncbi.nlm.nih.gov/pubmed/29375234 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13660-017-1601-y |
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