Compressive Sensing for Inverse Scattering
| Autor: | Marengo, Edwin A., Hernández, R. D., Citron, Y. R., Gruber, F. K., Zambrano, M., Lev-Ari, H. |
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| Jazyk: | angličtina |
| Rok vydání: | 2008 |
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| Zdroj: | Repositorio Institucional de documento digitales de acceso abierto de la UTP Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| Popis: | Compressive sensing is a new field in signal processing and applied mathematics. It allows one to simultaneously sample and compress signals which are known to have a sparse representation in a known basis or dictionary along with the subsequent recovery by linear programming (requiring polynomial (P) time) of the original signals with low or no error [1–3]. Compressive measurements or samples are non-adaptive, possibly random linear projections Compressive sensing is a new field in signal processing and applied mathematics. It allows one to simultaneously sample and compress signals which are known to have a sparse representation in a known basis or dictionary along with the subsequent recovery by linear programming (requiring polynomial (P) time) of the original signals with low or no error [1–3]. Compressive measurements or samples are non-adaptive, possibly random linear projections |
| Databáze: | OpenAIRE |
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