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A Bat-Inspired Sparse Recovery Algorithm for Compressed Sensing
Compressed sensing (CS) is an important research area of signal sampling and compression, and the essence of signal recovery in CS is an optimization problem of solving the underdetermined system of equations. Greedy pursuit algorithms are widely used to solve this problem. They have low computation...
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| Publicat a: | Comput Intell Neurosci |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Hindawi
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6231394/ https://ncbi.nlm.nih.gov/pubmed/30510568 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/1365747 |
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