Sampling and Reconstruction of Diffused Sparse Graph Signals From Successive Local Aggregations.
Samuel Rey-EscuderoFernando Jose Iglesias GarciaCristóbal CabreraAntonio G. MarquesPublished in: IEEE Signal Process. Lett. (2019)
Keyphrases
- signal reconstruction
- compressive sensing
- compressive sampling
- compressed sensing
- image reconstruction
- dense sampling
- band limited
- random projections
- signal processing
- sparse sampling
- diffusion process
- graph representation
- graph theory
- basis functions
- gaussian graphical models
- graph structure
- directed acyclic
- random walk
- sparse representation
- connected components
- random sampling
- orthogonal matching pursuit
- low pass filtering
- adjacency matrix
- directed graph
- high dimensional
- graph matching
- spanning tree
- graph model
- low rank approximation
- discrete tomography
- sparsity constraints
- structured data
- binary matrices
- signal recovery
- sparsely sampled
- super resolution