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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762816/ https://www.ncbi.nlm.nih.gov/pubmed/29375234 http://dx.doi.org/10.1186/s13660-017-1601-y |