Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting theoretical advances and a range of applications, as well as outlining numerous remaining research challenges. After a thorough review of the basic theory, many cutting-edge techniques are presented, including advanced signal modeling, sub-Nyquist sampling of analog signals, non-asymptotic analysis of random matrices, adaptive sensing, greedy algorithms and use of graphical models. All chapters are written by leading researchers in the field, and consistent style and notation are utilized throughout. Key background information and clear definitions make this an ideal resource for researchers, graduate students and practitioners wanting to join this exciting research area. It can also serve as a supplementary textbook for courses on computer vision, coding theory, signal processing, image processing and algorithms for efficient data processing.
Publisher: Cambridge University Press
Number of pages: 558
Weight: 1220 g
Dimensions: 249 x 175 x 30 mm
'... a charming encouragement to fascinating scientific adventure for talented students. Also ... a solid reference platform for researchers in many fields.' Artur Przelaskowski, IEEE Communications Magazine
"It looks like a charming encouragement to fascinating scientific adventure for talented students. Also, the book provides a solid reference platform for researchers in many fields..." - Artur Przelaskowski, IEEE Communications Magazine, April 2013