Block Sparse Signal Recovery in Compressed Sensing: Optimum Active Block Selection and Within-Block Sparsity Order Estimation
In this paper, we develop a new algorithm for recovery of block sparse signals in compressed sensing framework based on orthogonal matching pursuit. Furthermore, we point out that a major issue in conventional sparse signal recovery is the lack of prior knowledge about the order of sparsity. Consequ...
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Veröffentlicht in: | Circuits, systems, and signal processing systems, and signal processing, 2018-04, Vol.37 (4), p.1649-1668 |
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Sprache: | eng |
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