Compressive Sensing for Inverse Scattering
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 (...
Autores Principales: | Marengo, Edwin A., Hernández, R. D., Citron, Y. R., Gruber, F. K., Zambrano, M., Lev-Ari, H. |
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Formato: | Artículo |
Idioma: | Inglés Inglés |
Publicado: |
2017
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Materias: | |
Acceso en línea: |
http://ridda2.utp.ac.pa/handle/123456789/2413 http://ridda2.utp.ac.pa/handle/123456789/2413 |
Sumario: |
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 |
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