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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.
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Marco Donald Migliore (2014) studied this question.
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