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Greedy Algorithms for Nonnegativity-Constrained Simultaneous Sparse Recovery
This work proposes a family of greedy algorithms to jointly reconstruct a set of vectors that are (i) nonnegative and (ii) simultaneously sparse with a shared support set. The proposed algorithms generalize previous approaches that were designed to impose these constraints individually. Similar to p...
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| Publicado no: | Signal Processing |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4784713/ https://ncbi.nlm.nih.gov/pubmed/26973368 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.sigpro.2016.01.021 |
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