A null-space-based weighted ℓ1 minimization approach to compressed sensing
It has become an established fact that the constrained ℓ minimization is capable of recovering the sparse solution from a small number of linear observations and the reweighted version can significantly improve its numerical performance. The recoverability is closely related to the Restricted Isomet...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2016-03-01.
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| Subjects: | |
| Online Access: | Get fulltext |