Sparse Measurement Matrices for Compressed-Sensing Recovery by Bayesian Approximate Message Passing.
Norbert GoertzStefan C. BirgmeierPublished in: WSA (2020)
Keyphrases
- compressed sensing
- message passing
- inference in graphical models
- image reconstruction
- belief propagation
- random projections
- sparse representation
- distributed systems
- compressive sampling
- markov random field
- natural images
- approximate inference
- orthogonal matching pursuit
- signal processing
- bayesian networks
- signal recovery
- graphical models
- model selection
- maximum likelihood
- dimensionality reduction
- original data
- multiscale
- singular value decomposition
- computer vision