CoSaMP: Iterative Signal Recovery from Incomplete and Inaccurate Samples.
Compressive sampling (CoSa) is a new paradigm for developing data sampling technologies. It is based on the principle that many types of vector-space data are compressible, which is a term of art in mathematical signal processing. The key ideas are that randomized dimension reduction preserves the i...
| Publicado en: | Communications of the ACM Vol. 53; no. 12; pp. 93 - 101 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Dec2010
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |