Nonlinear Functions in Learned Iterative Shrinkage-Thresholding Algorithm for Sparse Signal Recovery.
Elaine Crespo MarquesNilson MacielLirida A. B. NavinerHao CaiJun YangPublished in: SiPS (2019)
Keyphrases
- signal recovery
- nonlinear functions
- thresholding algorithm
- rbf network
- projections onto convex sets
- input output
- neural network
- post processing
- nonlinear systems
- orthogonal matching pursuit
- basis functions
- denoising
- fuzzy neural network
- compressed sensing
- radial basis function
- fuzzy model
- rbf neural network
- dictionary learning
- feature extraction
- sparse representation
- spatial domain
- prediction model
- neural network model
- evolutionary algorithm
- machine learning