Stopping Criteria for Iterative Compressive Sensing of Sparse Angular-Frequency Spectrum.
Azril HanizTakeshi MatsumuraFumihide KojimaPublished in: WPMC (2020)
Keyphrases
- compressive sensing
- stopping criteria
- frequency spectrum
- fourier transform
- random projections
- sparse representation
- compressive sampling
- signal reconstruction
- frequency domain
- signal processing
- frequency band
- spectral features
- structured sparsity
- clustering algorithm
- image representation
- bandpass
- compressed sensing
- multiscale
- motion estimation
- image processing
- spatial domain
- orthogonal matching pursuit
- stopping criterion
- multiresolution
- machine learning