From L1 Minimization to Entropy Minimization: A Novel Approach for Sparse Signal Recovery in Compressive Sensing.
Miguel Heredia CondeOtmar LoffeldPublished in: EUSIPCO (2018)
Keyphrases
- compressive sensing
- signal recovery
- entropy minimization
- orthogonal matching pursuit
- sparse representation
- compressive sampling
- random projections
- signal reconstruction
- signal processing
- compressed sensing
- image representation
- dimensionality reduction
- pattern recognition
- image classification
- machine learning
- rate distortion
- dictionary learning
- sparse coding
- image patches
- sample size
- linear combination
- objective function
- feature selection