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Subspace aware recovery of low rank and jointly sparse signals
We consider the recovery of a matrix X, which is simultaneously low rank and joint sparse, from few measurements of its columns using a two-step algorithm. Each column of X is measured using a combination of two measurement matrices; one which is the same for every column, while the the second measu...
Tallennettuna:
| Julkaisussa: | IEEE Trans Comput Imaging |
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| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5473345/ https://ncbi.nlm.nih.gov/pubmed/28630889 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCI.2016.2628352 |
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