Compressive sensing via nonlocal low-rank regularization
Sparsity has been widely exploited for exact reconstruction of a signal from a small number of random measurements. Recent advances have suggested that structured or group sparsity often leads to more powerful signal reconstruction techniques in various compressed sensing (CS) studies. In this paper...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 23(2014), 8 vom: 20. Aug., Seite 3618-32
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| 1. Verfasser: |
Dong, Weisheng
(VerfasserIn) |
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| Weitere Verfasser: |
Shi, Guangming,
Li, Xin,
Ma, Yi,
Huang, Feng |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2014
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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