Compressed Sensing: How Sharp Is the Restricted Isometry Property?
Compressed sensing (CS) seeks to recover an unknown vector with N entries by making far fewer than N measurements; it posits that the number of CS measurements should be comparable to the information content of the vector, not simply N. CS combines directly the important task of compression with the...
| Auteurs principaux: | , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
2011
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