Title
Discrete Signal Processing on Graphs: Sampling Theory.
Abstract
We propose a sampling theory for signals that are supported on either directed or undirected graphs. The theory follows the same paradigm as classical sampling theory. We show that perfect recovery is possible for graph signals bandlimited under the graph Fourier transform. The sampled signal coefficients form a new graph signal, whose corresponding graph structure preserves the first-order differ...
Year
DOI
Venue
2015
10.1109/TSP.2015.2469645
IEEE Transactions on Signal Processing
Keywords
Field
DocType
Signal processing,Fourier transforms,Interpolation,Robustness,Laplace equations,Bandwidth,Electronic mail
Discrete mathematics,Multidimensional signal processing,Modular decomposition,Discrete-time signal,Filter bank,Sampling (statistics),Nyquist–Shannon sampling theorem,1-planar graph,Voltage graph,Mathematics
Journal
Volume
Issue
ISSN
63
24
1053-587X
Citations 
PageRank 
References 
109
3.12
45
Authors
4
Search Limit
100109
Name
Order
Citations
PageRank
Siheng Chen132427.85
rohan varma21397.32
Aliaksei Sandryhaila31093.12
Jelena Kovacevic480295.87