The Resource Adapted Compressed Sensing for Effective Hardware Implementations : A Design Flow for Signal-Level Optimization of Compressed Sensing Stages, by Mauro Mangia, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti, (electronic resource)

Adapted Compressed Sensing for Effective Hardware Implementations : A Design Flow for Signal-Level Optimization of Compressed Sensing Stages, by Mauro Mangia, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti, (electronic resource)

Label
Adapted Compressed Sensing for Effective Hardware Implementations : A Design Flow for Signal-Level Optimization of Compressed Sensing Stages
Title
Adapted Compressed Sensing for Effective Hardware Implementations
Title remainder
A Design Flow for Signal-Level Optimization of Compressed Sensing Stages
Statement of responsibility
by Mauro Mangia, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti
Creator
Contributor
Author
Author
Subject
Language
eng
Summary
This book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional “portrait”. The authors describe a design flow and some low-resource physical realizations of sensing systems based on CS. They highlight the pros and cons of several design choices from a pragmatic point of view, and show how a lightweight and mild but effective form of adaptation to the target signals can be the key to consistent resource saving. The basic principle of the devised design flow can be applied to almost any CS-based sensing system, including analog-to-information converters, and has been proven to fit an extremely diverse set of applications. Many practical aspects required to put a CS-based sensing system to work are also addressed, including saturation, quantization, and leakage phenomena
http://library.link/vocab/creatorName
Mangia, Mauro
Dewey number
621.3815
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • i2Ck811LXTw
  • W8hjVCunHZI
  • Q77fJ_AOqK4
  • ZpfDVd_pAso
  • _ud69-NSbt8
Image bit depth
0
LC call number
TK7888.4
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Pareschi, Fabio.
  • Cambareri, Valerio.
  • Rovatti, Riccardo.
  • Setti, Gianluca.
http://library.link/vocab/subjectName
  • Systems engineering
  • Electronics
  • Circuits and Systems
  • Signal, Image and Speech Processing
  • Electronics and Microelectronics, Instrumentation
Label
Adapted Compressed Sensing for Effective Hardware Implementations : A Design Flow for Signal-Level Optimization of Compressed Sensing Stages, by Mauro Mangia, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Chapter 1. Introduction to Compressed Sensing: Fundamentals and Guarantees -- Chapter 2.How (Well) Compressed Sensing Works in Practice -- Chapter 3. From Universal to Adapted Acquisition: Rake that Signal! -- Chapter 4.The Rakeness Problem with Implementation and Complexity Constraints -- Chapter 5.Generating Raking Matrices: a Fascinating Second-Order Problem -- Chapter 6.Architectures for Compressed Sensing -- Chapter 7.Analog-to-information Conversion -- Chapter 8.Low-complexity Biosignal Compression using Compressed Sensing -- Chapter 9.Security at the analog-to-information interface using Compressed Sensing
Dimensions
unknown
Edition
1st ed. 2018.
Extent
1 online resource (XIV, 319 p. 180 illus., 142 illus. in color.)
File format
multiple file formats
Form of item
online
Isbn
9783319613734
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-61373-4
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)4340000000062783
  • (DE-He213)978-3-319-61373-4
  • (MiAaPQ)EBC4915508
  • (EXLCZ)994340000000062783
Label
Adapted Compressed Sensing for Effective Hardware Implementations : A Design Flow for Signal-Level Optimization of Compressed Sensing Stages, by Mauro Mangia, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti, (electronic resource)
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Chapter 1. Introduction to Compressed Sensing: Fundamentals and Guarantees -- Chapter 2.How (Well) Compressed Sensing Works in Practice -- Chapter 3. From Universal to Adapted Acquisition: Rake that Signal! -- Chapter 4.The Rakeness Problem with Implementation and Complexity Constraints -- Chapter 5.Generating Raking Matrices: a Fascinating Second-Order Problem -- Chapter 6.Architectures for Compressed Sensing -- Chapter 7.Analog-to-information Conversion -- Chapter 8.Low-complexity Biosignal Compression using Compressed Sensing -- Chapter 9.Security at the analog-to-information interface using Compressed Sensing
Dimensions
unknown
Edition
1st ed. 2018.
Extent
1 online resource (XIV, 319 p. 180 illus., 142 illus. in color.)
File format
multiple file formats
Form of item
online
Isbn
9783319613734
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-61373-4
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)4340000000062783
  • (DE-He213)978-3-319-61373-4
  • (MiAaPQ)EBC4915508
  • (EXLCZ)994340000000062783

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