Compressive Sensing for Inverse Scattering
Marengo, Edwin A.
Hernández, R. D.
Citron, Y. R.
Gruber, F. K.
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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