CS-based computational imaging at microwave frequencies
Résumé
A review of the features, potentialities, and applications of Compressive Sensing (CS) methodologies in the solution of computational imaging problems is presented in this work. Towards this end, the most popular formulations for the solution of CS imaging problems at microwave frequencies are illustrated, and the advantages/limitations of current techniques developed in this framework are discussed, along with the recent advances in the field. Some numerical examples are presented to show the current trends and envisaged developments of CS-based computational imaging strategies.