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Books > Computing & IT > Applications of computing > Signal processing

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Compressed Sensing - Theory and Applications (Hardcover, New) Loot Price: R3,109
Discovery Miles 31 090
Compressed Sensing - Theory and Applications (Hardcover, New): Yonina C. Eldar, Gitta Kutyniok

Compressed Sensing - Theory and Applications (Hardcover, New)

Yonina C. Eldar, Gitta Kutyniok

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Loot Price R3,109 Discovery Miles 31 090 | Repayment Terms: R291 pm x 12*

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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.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: May 2012
First published: June 2012
Editors: Yonina C. Eldar • Gitta Kutyniok
Dimensions: 249 x 175 x 30mm (L x W x T)
Format: Hardcover
Pages: 558
Edition: New
ISBN-13: 978-1-107-00558-7
Categories: Books > Computing & IT > Applications of computing > Signal processing
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
LSN: 1-107-00558-2
Barcode: 9781107005587

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