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A simple introduction to compressed sensing/sparse recovery with applications in antenna measurements

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1 Author(s)
Marco Donald Migliore ; DIEI, Universitá di Cassino e del Lazio Meridionale, Via Di Biasio 43, 03043 Cassino, Italy

The aim of this tutorial paper is to introduce the compressed sensing/sparse recovery theory and its usefulness in practical electromagnetic problems. Examples allow an intuitive understanding of the theory at the basis of compressed sensing/sparse recovery techniques. Readers can also perform some numerical experiments in a simple way, using a MATLAB program that can be downloaded from the Web.

Published in:

IEEE Antennas and Propagation Magazine  (Volume:56 ,  Issue: 2 )