Compressed Sensing for Distributed Systems

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...

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Những tác giả chính:	Coluccia, Giulio, Ravazzi, Chiara, Magli, Enrico
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	Springer 2015
Những chủ đề:	Digital techniques Signal processing Data compression Wireless sensor networks
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57901
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spelling	oai:scholar.dlu.edu.vn:DLU123456789-579012023-11-11T05:56:37Z Compressed Sensing for Distributed Systems Coluccia, Giulio Ravazzi, Chiara Magli, Enrico Digital techniques Signal processing Data compression Wireless sensor networks 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. 2015-09-01T06:55:53Z 2015-09-01T06:55:53Z 2015 Book 978-981-287-390-3 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57901 en application/pdf Springer
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Digital techniques Signal processing Data compression Wireless sensor networks
spellingShingle	Digital techniques Signal processing Data compression Wireless sensor networks Coluccia, Giulio Ravazzi, Chiara Magli, Enrico Compressed Sensing for Distributed Systems
description	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.
format	Book
author	Coluccia, Giulio Ravazzi, Chiara Magli, Enrico
author_facet	Coluccia, Giulio Ravazzi, Chiara Magli, Enrico
author_sort	Coluccia, Giulio
title	Compressed Sensing for Distributed Systems
title_short	Compressed Sensing for Distributed Systems
title_full	Compressed Sensing for Distributed Systems
title_fullStr	Compressed Sensing for Distributed Systems
title_full_unstemmed	Compressed Sensing for Distributed Systems
title_sort	compressed sensing for distributed systems
publisher	Springer
publishDate	2015
url	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57901
_version_	1782542632276197376

Compressed Sensing for Distributed Systems

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