The Sparsity Adaptive Reconstruction Algorithm Based on Simulated Annealing for Compressed Sensing
This paper proposes a novel sparsity adaptive simulated annealing algorithm to solve the issue of sparse recovery. This algorithm combines the advantage of the sparsity adaptive matching pursuit (SAMP) algorithm and the simulated annealing method in global searching for the recovery of the sparse si...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Wiley
2019-01-01
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| Serie: | Journal of Electrical and Computer Engineering |
| Accesso online: | http://dx.doi.org/10.1155/2019/6950819 |
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