Guest-Editorial: Special Cluster on Compressive Sensing as Applied to Electromagnetics

COMPRESSIVE SENSING (CS) has spurred the introduction, development, and application of a huge number of new methodologies in information theory, signal processing, computer science, and electrical engineering [1]–[3]. Its success is motivated by the CS promise to overcome Shannon–Nyquist famous theorem and to enable recovery of signals/phenomena from far fewer measurements than traditional techniques. This possibility has gathered considerable interest in applied areas traditionally constrained by Nyquist’s sampling rate, including imaging [4][5], audio/video capture [6], and communications [7]. In this framework, Electromagnetics represents a relatively new area of application, although some problems, comprising antenna array synthesis and diagnosis, inverse scattering, and radar imaging, have already been addressed through CS techniques [3]. The letters in this special cluster explore solutions to a variety of these problems