The Resource Compressed Sensing for Distributed Systems, by Giulio Coluccia, Chiara Ravazzi, Enrico Magli, (electronic resource)

Compressed Sensing for Distributed Systems, by Giulio Coluccia, Chiara Ravazzi, Enrico Magli, (electronic resource)

Label
Compressed Sensing for Distributed Systems
Title
Compressed Sensing for Distributed Systems
Statement of responsibility
by Giulio Coluccia, Chiara Ravazzi, Enrico Magli
Creator
Contributor
Author
Author
Subject
Language
  • eng
  • eng
Summary
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
Member of
http://library.link/vocab/creatorName
Coluccia, Giulio
Dewey number
  • 004.6
  • 515.64
  • 620
  • 621.382
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • Tsl--I9S3xg
  • dY_FDHREFcg
  • _2his8imD2Q
Language note
English
LC call number
  • TK5102.9
  • TA1637-1638
  • TK7882.S65
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Ravazzi, Chiara.
  • Magli, Enrico.
Series statement
SpringerBriefs in Signal Processing,
http://library.link/vocab/subjectName
  • Computer Communication Networks
  • Mathematical optimization
  • Signal, Image and Speech Processing
  • Computer Communication Networks
  • Calculus of Variations and Optimal Control; Optimization
Label
Compressed Sensing for Distributed Systems, by Giulio Coluccia, Chiara Ravazzi, Enrico Magli, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references at the end of each chapters
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
Introduction -- Distributed Compressed Sensing -- Rate–Distortion Theory of Distributed Compressed Sensing -- Centralized Joint Recovery -- Distributed Recovery -- Conclusions
Dimensions
unknown
Edition
1st ed. 2015.
Extent
1 online resource (104 p.)
Form of item
online
Isbn
9789812873903
Media category
computer
Media type code
  • c
Other control number
10.1007/978-981-287-390-3
Specific material designation
remote
System control number
  • (CKB)3710000000416949
  • (EBL)2095425
  • (SSID)ssj0001501169
  • (PQKBManifestationID)11918319
  • (PQKBTitleCode)TC0001501169
  • (PQKBWorkID)11522345
  • (PQKB)11342389
  • (DE-He213)978-981-287-390-3
  • (MiAaPQ)EBC2095425
  • (EXLCZ)993710000000416949
Label
Compressed Sensing for Distributed Systems, by Giulio Coluccia, Chiara Ravazzi, Enrico Magli, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references at the end of each chapters
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
Introduction -- Distributed Compressed Sensing -- Rate–Distortion Theory of Distributed Compressed Sensing -- Centralized Joint Recovery -- Distributed Recovery -- Conclusions
Dimensions
unknown
Edition
1st ed. 2015.
Extent
1 online resource (104 p.)
Form of item
online
Isbn
9789812873903
Media category
computer
Media type code
  • c
Other control number
10.1007/978-981-287-390-3
Specific material designation
remote
System control number
  • (CKB)3710000000416949
  • (EBL)2095425
  • (SSID)ssj0001501169
  • (PQKBManifestationID)11918319
  • (PQKBTitleCode)TC0001501169
  • (PQKBWorkID)11522345
  • (PQKB)11342389
  • (DE-He213)978-981-287-390-3
  • (MiAaPQ)EBC2095425
  • (EXLCZ)993710000000416949

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