9781107005587 - Compressed Sensing: Theory and Applications von Edited By Yonina C. Eldar, Gitta Kutyniok (5 Ergebnisse)

Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: New. In.

Zustand: New. A detailed presentation of compressed sensing by leading researchers, covering the most significant theoretical and application-oriented advances. Editor(s): Eldar, Yonina C.; Kutyniok, Gitta. Num Pages: 558 pages, 128 b/w illus. 9 tables. BIC Classification: TJK; UYS. Category: (P) Professional & Vocational. Dimension: 255 x 184 x 30. Weight in Grams: 1116. . 2012. Illustrated. hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 1st edition. 552 pages. 9.76x6.85x1.18 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.