The Resource Compressed sensing for distributed systems, Giulio Coluccia, Chiara Ravazzi, Enrico Magli

Compressed sensing for distributed systems, Giulio Coluccia, Chiara Ravazzi, Enrico Magli

Label
Compressed sensing for distributed systems
Title
Compressed sensing for distributed systems
Statement of responsibility
Giulio Coluccia, Chiara Ravazzi, Enrico Magli
Creator
Contributor
Author
Subject
Genre
Language
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
Cataloging source
N$T
http://library.link/vocab/creatorName
Coluccia, Giulio
Dewey number
004.6
Illustrations
illustrations
Index
no index present
LC call number
TK7872.D48
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Ravazzi, Chiara
  • Magli, Enrico
Series statement
SpringerBriefs in electrical and computer engineering, Signal processing,
http://library.link/vocab/subjectName
  • Wireless sensor networks
  • Data compression (Telecommunication)
  • Signal processing
  • Electrical & Computer Engineering
  • Engineering & Applied Sciences
  • Applied Physics
  • Telecommunications
  • Electrical Engineering
Label
Compressed sensing for distributed systems, Giulio Coluccia, Chiara Ravazzi, Enrico Magli
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-981-287-390-3
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Distributed Compressed Sensing -- Rate?Distortion Theory of Distributed Compressed Sensing -- Centralized Joint Recovery -- Distributed Recovery -- Conclusions
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9789812873903
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-981-287-390-3
Other physical details
color illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)910622954
  • (OCoLC)ocn910622954
Label
Compressed sensing for distributed systems, Giulio Coluccia, Chiara Ravazzi, Enrico Magli
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-981-287-390-3
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Distributed Compressed Sensing -- Rate?Distortion Theory of Distributed Compressed Sensing -- Centralized Joint Recovery -- Distributed Recovery -- Conclusions
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9789812873903
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-981-287-390-3
Other physical details
color illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)910622954
  • (OCoLC)ocn910622954

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