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 (...

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Main Authors: Marengo, Edwin A., Hernández, R. D., Citron, Y. R., Gruber, F. K., Zambrano, M., Lev-Ari, H.
Format: Artículo
Language: Inglés
Published: 2017
Subjects:
Online Access: http://ridda2.utp.ac.pa/handle/123456789/2413
Summary: 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