Compressive Sensing

Abstract

Compressive sensing (CS) is an emerging sampling theory, which reproduces signals from a much smaller set of samples than that required by the Nyquist‐Shannon criterion. Since its introduction in the mid‐2000s it has attracted considerable research interest and a number of CS‐based architectures have been proposed, built, and examined in the research labs. This article outlines the main theoretical concepts surrounding CS and also discusses some of its applications in the field of optics and image science.