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Compressed Sensing - Theory and Applications (Hardcover, New)
Loot Price: R3,109
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Compressed Sensing - Theory and Applications (Hardcover, New)
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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.
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