Parallel Graph Signal Processing: Sampling and Reconstruction.
Daniela DapenaDaniel L. LauGonzalo R. ArcePublished in: IEEE Trans. Signal Inf. Process. over Networks (2023)
Keyphrases
- signal processing
- compressed sensing
- fourier transform
- graph representation
- depth first search
- graph theory
- compressive sensing
- image processing
- shared memory
- directed graph
- random sampling
- parallel processing
- sample size
- random walk
- pattern recognition
- structured data
- discrete tomography
- sampling theorem
- graph structure
- weighted graph
- directed acyclic graph
- graph model
- computer vision
- three dimensional
- neural network
- signal analysis
- graph clustering
- frequent subgraph mining
- sparsely sampled
- adjacency matrix
- sampling algorithm
- graph theoretic
- parallel implementation
- graph databases
- graph matching
- connected components
- binary images
- markov chain
- graphical models
- active learning
- machine learning