Coverart for item
The Resource Data-driven wireless networks : a compressive spectrum approach, Yue Gao, Zhijin Qin

Data-driven wireless networks : a compressive spectrum approach, Yue Gao, Zhijin Qin

Label
Data-driven wireless networks : a compressive spectrum approach
Title
Data-driven wireless networks
Title remainder
a compressive spectrum approach
Statement of responsibility
Yue Gao, Zhijin Qin
Creator
Contributor
Author
Subject
Language
eng
Member of
Cataloging source
N$T
http://library.link/vocab/creatorName
Gao, Yue
Dewey number
006.2/5
Index
no index present
LC call number
TK7872.D48
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Qin, Zhijin
Series statement
SpringerBriefs in electrical and computer engineering
http://library.link/vocab/subjectName
  • Wireless sensor networks
  • Internet of things
Label
Data-driven wireless networks : a compressive spectrum approach, Yue Gao, Zhijin Qin
Instantiates
Publication
Antecedent source
unknown
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
  • Intro; Foreword; Preface; Acknowledgment; Contents; Acronyms and Nomenclature; Part I Background; 1 Introduction; 1.1 Motivations and Contributions; 1.1.1 Data-Driven Compressive Spectrum Sensing; 1.1.2 Robust Compressive Spectrum Sensing; 1.1.3 Secure Compressive Spectrum Sensing; References; 2 Sparse Representation in Wireless Networks; 2.1 Principles of Standard Compressive Sensing; 2.1.1 Sparse Representation; 2.1.2 Projection; 2.1.3 Signal Reconstruction; 2.2 Reweighted Compressive Sensing; 2.3 Distributed Compressive Sensing; 2.4 Compressive Spectrum Sensing
  • 2.4.1 Spectrum Sensing Methods2.4.2 Spectrum Sensing Model; 2.4.3 Compressive Wideband Spectrum Sensing; 2.4.3.1 Signals Arrives at Secondary Users; 2.4.3.2 Compressed Measurements Collection; 2.4.3.3 Signal Recovery; 2.4.3.4 Decision Making; 2.5 Summary; References; Part II Compressive Spectrum Sensing Algorithms; 3 Data-Driven Compressive Spectrum Sensing; 3.1 Introduction; 3.1.1 Related Work; 3.1.2 Contributions; 3.2 Data-Driven Compressive Spectrum Sensing Framework; 3.2.1 Iteratively Reweighted Least Square-Based Compressive Sensing
  • 3.2.2 Non-iteratively Reweighted Least Square-Based Compressive Sensing3.2.2.1 Convergence Analyses; 3.2.2.2 Complexity Analyses; 3.2.3 Proposed Wilkinson's Method-Based DTT Location Probability Calculation Algorithm; 3.2.3.1 Maximum Allowable Equivalent Isotropic Radiated Power Calculation; 3.3 Numerical Analyses; 3.3.1 Numerical Analyses on Simulated Signals and Data; 3.3.2 Numerical Analyses on Real-World Signals and Data; 3.4 Summary; References; 4 Robust Compressive Spectrum Sensing; 4.1 Introduction; 4.1.1 Related Work; 4.1.2 Contributions
  • 4.2 Robust Compressive Spectrum Sensing at Single User4.2.1 System Model; 4.2.1.1 Proposed Channel Division Scheme; 4.2.1.2 Proposed Denoised Spectrum Sensing Algorithm; 4.2.2 Computational Complexity and Spectrum Usage Analyses; 4.3 Numerical Analyses for Single User Case; 4.3.1 Analyses on Simulated Signals; 4.3.2 Analyses on Real-World Signals; 4.4 Matrix Completion-Based Robust Spectrum Sensing at Cooperative Multiple Users; 4.4.1 System Model; 4.4.1.1 Signals Arrive at Secondary Users; 4.4.1.2 Incomplete Matrix Construction at Fusion Center; 4.4.1.3 Matrix Completion at Fusion Center
  • 4.4.1.4 Decision Making at an Fusion Center4.4.2 Denoised Cooperative Spectrum Sensing Algorithm; 4.4.3 Computational Complexity and Performance Analyses; 4.5 Numerical Analyses for Cooperative Multiple Users Case; 4.5.1 Analyses on Simulated Signals; 4.5.2 Analyses on Real-World Signals; 4.6 Summary; References; 5 Secure Compressive Spectrum Sensing; 5.1 Introduction; 5.1.1 Related Work; 5.1.2 Motivations and Contributions; 5.2 System Model; 5.2.1 Networks Description; 5.2.2 Signal Processing Model; 5.3 Malicious User Detection Framework; 5.3.1 Proposed Malicious User Detection Algorithm
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783030002909
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
com.springer.onix.9783030002909
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1057550229
  • (OCoLC)1057550229
Label
Data-driven wireless networks : a compressive spectrum approach, Yue Gao, Zhijin Qin
Publication
Antecedent source
unknown
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
  • Intro; Foreword; Preface; Acknowledgment; Contents; Acronyms and Nomenclature; Part I Background; 1 Introduction; 1.1 Motivations and Contributions; 1.1.1 Data-Driven Compressive Spectrum Sensing; 1.1.2 Robust Compressive Spectrum Sensing; 1.1.3 Secure Compressive Spectrum Sensing; References; 2 Sparse Representation in Wireless Networks; 2.1 Principles of Standard Compressive Sensing; 2.1.1 Sparse Representation; 2.1.2 Projection; 2.1.3 Signal Reconstruction; 2.2 Reweighted Compressive Sensing; 2.3 Distributed Compressive Sensing; 2.4 Compressive Spectrum Sensing
  • 2.4.1 Spectrum Sensing Methods2.4.2 Spectrum Sensing Model; 2.4.3 Compressive Wideband Spectrum Sensing; 2.4.3.1 Signals Arrives at Secondary Users; 2.4.3.2 Compressed Measurements Collection; 2.4.3.3 Signal Recovery; 2.4.3.4 Decision Making; 2.5 Summary; References; Part II Compressive Spectrum Sensing Algorithms; 3 Data-Driven Compressive Spectrum Sensing; 3.1 Introduction; 3.1.1 Related Work; 3.1.2 Contributions; 3.2 Data-Driven Compressive Spectrum Sensing Framework; 3.2.1 Iteratively Reweighted Least Square-Based Compressive Sensing
  • 3.2.2 Non-iteratively Reweighted Least Square-Based Compressive Sensing3.2.2.1 Convergence Analyses; 3.2.2.2 Complexity Analyses; 3.2.3 Proposed Wilkinson's Method-Based DTT Location Probability Calculation Algorithm; 3.2.3.1 Maximum Allowable Equivalent Isotropic Radiated Power Calculation; 3.3 Numerical Analyses; 3.3.1 Numerical Analyses on Simulated Signals and Data; 3.3.2 Numerical Analyses on Real-World Signals and Data; 3.4 Summary; References; 4 Robust Compressive Spectrum Sensing; 4.1 Introduction; 4.1.1 Related Work; 4.1.2 Contributions
  • 4.2 Robust Compressive Spectrum Sensing at Single User4.2.1 System Model; 4.2.1.1 Proposed Channel Division Scheme; 4.2.1.2 Proposed Denoised Spectrum Sensing Algorithm; 4.2.2 Computational Complexity and Spectrum Usage Analyses; 4.3 Numerical Analyses for Single User Case; 4.3.1 Analyses on Simulated Signals; 4.3.2 Analyses on Real-World Signals; 4.4 Matrix Completion-Based Robust Spectrum Sensing at Cooperative Multiple Users; 4.4.1 System Model; 4.4.1.1 Signals Arrive at Secondary Users; 4.4.1.2 Incomplete Matrix Construction at Fusion Center; 4.4.1.3 Matrix Completion at Fusion Center
  • 4.4.1.4 Decision Making at an Fusion Center4.4.2 Denoised Cooperative Spectrum Sensing Algorithm; 4.4.3 Computational Complexity and Performance Analyses; 4.5 Numerical Analyses for Cooperative Multiple Users Case; 4.5.1 Analyses on Simulated Signals; 4.5.2 Analyses on Real-World Signals; 4.6 Summary; References; 5 Secure Compressive Spectrum Sensing; 5.1 Introduction; 5.1.1 Related Work; 5.1.2 Motivations and Contributions; 5.2 System Model; 5.2.1 Networks Description; 5.2.2 Signal Processing Model; 5.3 Malicious User Detection Framework; 5.3.1 Proposed Malicious User Detection Algorithm
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783030002909
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
com.springer.onix.9783030002909
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1057550229
  • (OCoLC)1057550229

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