Borrow it
 Albert D. Cohen Management Library
 Architecture/Fine Arts Library
 Archives and Special Collections
 Bibliothèque AlfredMonnin (Université de SaintBoniface)
 Bill Larson Library (Grace Hospital)
 Carolyn Sifton  Helene Fuld Library (St. Boniface General Hospital)
 Concordia Hospital Library
 Donald W. Craik Engineering Library
 E.K. Williams Law Library
 EckhardtGramatté Music Library
 Elizabeth Dafoe Library
 Fr. H. Drake Library (St. Paul's College)
 J.W. Crane Memorial Library (Deer Lodge Centre)
 Libraries Annex (not open to the public; please see web page for details)
 Neil John Maclean Health Sciences Library
 Sciences and Technology Library
 Seven Oaks General Hospital Library
 Sister St. Odilon Library (Misericordia Health Centre)
 St. John's College Library
 Victoria General Hospital Library
 William R Newman Library (Agriculture)
The Resource VertexFrequency Analysis of Graph Signals, edited by Ljubiša Stanković, Ervin Sejdić, (electronic resource)
VertexFrequency Analysis of Graph Signals, edited by Ljubiša Stanković, Ervin Sejdić, (electronic resource)
Resource Information
The item VertexFrequency Analysis of Graph Signals, edited by Ljubiša Stanković, Ervin Sejdić, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Manitoba Libraries.This item is available to borrow from all library branches.
Resource Information
The item VertexFrequency Analysis of Graph Signals, edited by Ljubiša Stanković, Ervin Sejdić, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Manitoba Libraries.
This item is available to borrow from all library branches.
 Summary
 This book introduces new methods to analyze vertexvarying graph signals. In many realworld scenarios, the data sensing domain is not a regular grid, but a more complex network that consists of sensing points (vertices) and edges (relating the sensing points). Furthermore, sensing geometry or signal properties define the relation among sensed signal points. Even for the data sensed in the welldefined time or space domain, the introduction of new relationships among the sensing points may produce new insights in the analysis and result in more advanced data processing techniques. The data domain, in these cases and discussed in this book, is defined by a graph. Graphs exploit the fundamental relations among the data points. Processing of signals whose sensing domains are defined by graphs resulted in graph data processing as an emerging field in signal processing. Although signal processing techniques for the analysis of timevarying signals are well established, the corresponding graph signal processing equivalent approaches are still in their infancy. This book presents novel approaches to analyze vertexvarying graph signals. The vertexfrequency analysis methods use the Laplacian or adjacency matrix to establish connections between vertex and spectral (frequency) domain in order to analyze local signal behavior where edge connections are used for graph signal localization. The book applies combined concepts from timefrequency and wavelet analyses of classical signal processing to the analysis of graph signals. Covering analytical tools for vertexvarying applications, this book is of interest to researchers and practitioners in engineering, science, neuroscience, genome processing, just to name a few. It is also a valuable resource for postgraduate students and researchers looking to expand their knowledge of the vertexfrequency analysis theory and its applications. The book consists of 15 chapters contributed by 41 leading researches in the field
 Language
 eng
 Edition
 1st ed. 2019.
 Extent
 1 online resource (516 pages)
 Contents

 Introduction to Graph Signal Processing
 Oversampled Graph Laplacian Matrix for Graph Filter Banks
 Toward an Uncertainty Principle for Weighted Graphs
 Graph Theoretic Uncertainty and Feasibility
 SignalAdapted Tight Frames on Graphs
 Local Spectral Analysis of the Cerebral Cortex: New Gyrification Indices
 Intrinsic Geometric Information Transfer Learning on Multiple GraphStructured Datasets
 Isbn
 9783030035747
 Label
 VertexFrequency Analysis of Graph Signals
 Title
 VertexFrequency Analysis of Graph Signals
 Statement of responsibility
 edited by Ljubiša Stanković, Ervin Sejdić
 Language
 eng
 Summary
 This book introduces new methods to analyze vertexvarying graph signals. In many realworld scenarios, the data sensing domain is not a regular grid, but a more complex network that consists of sensing points (vertices) and edges (relating the sensing points). Furthermore, sensing geometry or signal properties define the relation among sensed signal points. Even for the data sensed in the welldefined time or space domain, the introduction of new relationships among the sensing points may produce new insights in the analysis and result in more advanced data processing techniques. The data domain, in these cases and discussed in this book, is defined by a graph. Graphs exploit the fundamental relations among the data points. Processing of signals whose sensing domains are defined by graphs resulted in graph data processing as an emerging field in signal processing. Although signal processing techniques for the analysis of timevarying signals are well established, the corresponding graph signal processing equivalent approaches are still in their infancy. This book presents novel approaches to analyze vertexvarying graph signals. The vertexfrequency analysis methods use the Laplacian or adjacency matrix to establish connections between vertex and spectral (frequency) domain in order to analyze local signal behavior where edge connections are used for graph signal localization. The book applies combined concepts from timefrequency and wavelet analyses of classical signal processing to the analysis of graph signals. Covering analytical tools for vertexvarying applications, this book is of interest to researchers and practitioners in engineering, science, neuroscience, genome processing, just to name a few. It is also a valuable resource for postgraduate students and researchers looking to expand their knowledge of the vertexfrequency analysis theory and its applications. The book consists of 15 chapters contributed by 41 leading researches in the field
 Dewey number
 511.5
 http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt

 6ocM3jN7dZI
 _tTjaO8IOyY
 LC call number

 TK5102.9
 TA16371638
 TK7882.S65
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName

 Stanković, Ljubiša.
 Sejdić, Ervin.
 Series statement
 Signals and Communication Technology,
 http://library.link/vocab/subjectName

 Neurosciences
 Signal, Image and Speech Processing
 Graph Theory
 Applications of Graph Theory and Complex Networks
 Neurosciences
 Label
 VertexFrequency Analysis of Graph Signals, edited by Ljubiša Stanković, Ervin Sejdić, (electronic resource)
 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 to Graph Signal Processing  Oversampled Graph Laplacian Matrix for Graph Filter Banks  Toward an Uncertainty Principle for Weighted Graphs  Graph Theoretic Uncertainty and Feasibility  SignalAdapted Tight Frames on Graphs  Local Spectral Analysis of the Cerebral Cortex: New Gyrification Indices  Intrinsic Geometric Information Transfer Learning on Multiple GraphStructured Datasets
 Dimensions
 unknown
 Edition
 1st ed. 2019.
 Extent
 1 online resource (516 pages)
 Form of item
 online
 Isbn
 9783030035747
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783030035747
 Sound
 unknown sound
 Specific material designation
 remote
 System control number

 (CKB)4100000007181329
 (MiAaPQ)EBC5608255
 (DEHe213)9783030035747
 (EXLCZ)994100000007181329
 Label
 VertexFrequency Analysis of Graph Signals, edited by Ljubiša Stanković, Ervin Sejdić, (electronic resource)
 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 to Graph Signal Processing  Oversampled Graph Laplacian Matrix for Graph Filter Banks  Toward an Uncertainty Principle for Weighted Graphs  Graph Theoretic Uncertainty and Feasibility  SignalAdapted Tight Frames on Graphs  Local Spectral Analysis of the Cerebral Cortex: New Gyrification Indices  Intrinsic Geometric Information Transfer Learning on Multiple GraphStructured Datasets
 Dimensions
 unknown
 Edition
 1st ed. 2019.
 Extent
 1 online resource (516 pages)
 Form of item
 online
 Isbn
 9783030035747
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783030035747
 Sound
 unknown sound
 Specific material designation
 remote
 System control number

 (CKB)4100000007181329
 (MiAaPQ)EBC5608255
 (DEHe213)9783030035747
 (EXLCZ)994100000007181329
Library Locations

Albert D. Cohen Management LibraryBorrow it181 Freedman Crescent, Winnipeg, MB, R3T 5V4, CA49.807878 97.129961


Archives and Special CollectionsBorrow it25 Chancellors Circle (Elizabeth Dafoe Library), Room 330, Winnipeg, MB, R3T 2N2, CA49.809961 97.131878

Bibliothèque AlfredMonnin (Université de SaintBoniface)Borrow it200, avenue de la Cathédrale, Local 2110, Winnipeg, MB, R2H 0H7, CA49.888861 97.119735

Bill Larson Library (Grace Hospital)Borrow it300 Booth Drive, G227, Winnipeg, MB, R3J 3M7, CA49.882400 97.276436

Carolyn Sifton  Helene Fuld Library (St. Boniface General Hospital)Borrow it409 Tache Avenue, Winnipeg, MB, R2H 2A6, CA49.883388 97.126050

Concordia Hospital LibraryBorrow it1095 Concordia Avenue, Winnipeg, MB, R2K 3S8, CA49.913252 97.064683

Donald W. Craik Engineering LibraryBorrow it75B Chancellors Circle (Engineering Building E3), Room 361, Winnipeg, MB, R3T 2N2, CA49.809053 97.133292


EckhardtGramatté Music LibraryBorrow it136 Dafoe Road (Taché Arts Complex), Room 257, Winnipeg, MB, R3T 2N2, CA49.807964 97.132222

Elizabeth Dafoe LibraryBorrow it25 Chancellors Circle, Winnipeg, MB, R3T 2N2, CA49.809961 97.131878

Fr. H. Drake Library (St. Paul's College)Borrow it70 Dysart Road, Winnipeg, MB, R3T 2M6, CA49.810605 97.138184

J.W. Crane Memorial Library (Deer Lodge Centre)Borrow it2109 Portage Avenue, Winnipeg, MB, R3J 0L3, CA49.878000 97.235520

Libraries Annex (not open to the public; please see web page for details)Borrow it25 Chancellors Circle (in the Elizabeth Dafoe Library), Winnipeg, MB, R3T 2N2, CA49.809961 97.131878

Neil John Maclean Health Sciences LibraryBorrow it727 McDermot Avenue (Brodie Centre), 200 Level, Winnipeg, MB, R3E 3P5, CA49.903563 97.160554

Sciences and Technology LibraryBorrow it186 Dysart Road, Winnipeg, MB, R3T 2M8, CA49.811526 97.133257

Seven Oaks General Hospital LibraryBorrow it2300 McPhillips Street, Winnipeg, MB, R2V 3M3, CA49.955177 97.148865

Sister St. Odilon Library (Misericordia Health Centre)Borrow it99 Cornish Avenue, Winnipeg, MB, R3C 1A2, CA49.879592 97.160425


Victoria General Hospital LibraryBorrow it2340 Pembina Highway, Winnipeg, MB, R3T 2E8, CA49.806755 97.152739

William R Newman Library (Agriculture)Borrow it66 Dafoe Road, Winnipeg, MB, R3T 2R3, CA49.806936 97.135525
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.lib.umanitoba.ca/portal/VertexFrequencyAnalysisofGraphSignals/JZe5lXDfROI/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.lib.umanitoba.ca/portal/VertexFrequencyAnalysisofGraphSignals/JZe5lXDfROI/">VertexFrequency Analysis of Graph Signals, edited by Ljubiša Stanković, Ervin Sejdić, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.lib.umanitoba.ca/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.lib.umanitoba.ca/">University of Manitoba Libraries</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data  Experimental
Data Citation of the Item VertexFrequency Analysis of Graph Signals, edited by Ljubiša Stanković, Ervin Sejdić, (electronic resource)
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.lib.umanitoba.ca/portal/VertexFrequencyAnalysisofGraphSignals/JZe5lXDfROI/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.lib.umanitoba.ca/portal/VertexFrequencyAnalysisofGraphSignals/JZe5lXDfROI/">VertexFrequency Analysis of Graph Signals, edited by Ljubiša Stanković, Ervin Sejdić, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.lib.umanitoba.ca/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.lib.umanitoba.ca/">University of Manitoba Libraries</a></span></span></span></span></div>