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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Bibliographic Details

Main Author:	Marengo, Edwin A. (author)
Other Authors:	Hernández, R. D. (author), Citron, Y. R. (author), Gruber, F. K. (author), Zambrano, M. (author), Lev-Ari, H. (author)
Format:	article
Language:	English
Published:	2008
Subjects:	inverse scattering signal processing random linear projection applied mathematics compressive measurement sparse representation new field known basis compressive sensing original signal linear programming subsequent recovery compress signal
Online Access:	http://ridda2.utp.ac.pa/handle/123456789/2413
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