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Compressed Sensing for Distributed Systems (Paperback, 2015 ed.)
Loot Price: R1,727
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Compressed Sensing for Distributed Systems (Paperback, 2015 ed.)
Series: SpringerBriefs in Electrical and Computer Engineering
Expected to ship within 10 - 15 working days
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This book presents a survey of the state-of-the art in the exciting
and timely topic of compressed sensing for distributed systems. It
has to be noted that, while compressed sensing has been studied for
some time now, its distributed applications are relatively new.
Remarkably, such applications are ideally suited to exploit all the
benefits that compressed sensing can provide. The objective of this
book is to provide the reader with a comprehensive survey of this
topic, from the basic concepts to different classes of centralized
and distributed reconstruction algorithms, as well as a comparison
of these techniques. This book collects different contributions on
these aspects. It presents the underlying theory in a complete and
unified way for the first time, presenting various signal models
and their use cases. It contains a theoretical part collecting
latest results in rate-distortion analysis of distributed
compressed sensing, as well as practical implementations of
algorithms obtaining performance close to the theoretical bounds.
It presents and discusses various distributed reconstruction
algorithms, summarizing the theoretical reconstruction guarantees
and providing a comparative analysis of their performance and
complexity. In summary, this book will allow the reader to get
started in the field of distributed compressed sensing from theory
to practice. We believe that this book can find a broad audience
among researchers, scientists, or engineers with very diverse
backgrounds, having interests in mathematical optimization, network
systems, graph theoretical methods, linear systems, stochastic
systems, and randomized algorithms. To help the reader become
familiar with the theory and algorithms presented, accompanying
software is made available on the authors' web site, implementing
several of the algorithms described in the book. The only
background required of the reader is a good knowledge of advanced
calculus and linear algebra.
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