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
A Simple Introduction to Compressed Sensing/Sparse Recovery with Applications in Antenna Measurements
MIGLIORE, Marco Donald
2014-01-01
Abstract
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 WebFile in questo prodotto:
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