Multilevel Subsampling of Principal Component Projections for Adaptive Compressive Sensing.
Tin VlasicDamir SersicPublished in: ISPA (2021)
Keyphrases
- compressive sensing
- principal components
- principal component analysis
- random projections
- image recovery
- sparse representation
- dimensionality reduction
- signal reconstruction
- kernel space
- signal processing
- image representation
- principal component regression
- compressive sampling
- compressed sensing
- covariance matrix
- least squares
- computational complexity