Compressed Sensing for Engineers (Devices, Circuits, and Systems)

Compressed Sensing (CS) in theory deals with the problem of recovering a sparse signal from an under-determined system of linear equations. The topic is of immense practical significance since all naturally occurring signals can be sparsely represented in some domain. In the recent past, CS has helped reduce scan time in Magnetic Resonance Imaging (making scans more feasible for pediatric and geriatric subjects) and reduce the health hazard in X-Ray Computed CT. The book with be suitable for an engineering student in signal processing and requires a basic understanding of signal processing and linear algebra.