Paper Info
Title
Vertex-Frequency Analysis: A Way to Localize Graph Spectral Components [Lecture Notes].
Abstract
Currently, brain and social networks are examples of new data types that are massively acquired and disseminated [1]. These networks typically consist of vertices (nodes) and edges (connections between nodes). Usually, information is conveyed through the strength of connection among nodes, but in recent years, it has been discovered that valuable information may also be conveyed in signals that oc...
Year
DOI
Venue
2017
10.1109/MSP.2017.2696572
IEEE Signal Processing Magazine
Keywords
Field
DocType
Laplace equations,Eigenvalues and eigenfunctions,Time-frequency analysis,Convolution,Spectral analysis,Matrix decomposition
Signal processing,Social network,Graph energy,Vertex (geometry),Convolution,Computer science,Matrix decomposition,Theoretical computer science,Data type,Time–frequency analysis
Journal
Volume
Issue
ISSN
34
4
1053-5888
Citations 
PageRank 
References 
1
0.35
3
Authors
3
Name
Order
Citations
PageRank
L. Stankovic173687.03
Milos Dakovic211026.73
Ervin Sejdic314625.55