An RIP-based approach to $ΣΔ$ quantization for compressed sensing.
Joe-Mei FengFelix KrahmerPublished in: CoRR (2014)
Keyphrases
- compressed sensing
- image reconstruction
- random projections
- sparse representation
- natural images
- signal processing
- compressive sampling
- fourier domain
- active learning
- high resolution
- dimension reduction
- radon transform
- feature space
- compressive sensing
- object recognition
- orthogonal matching pursuit
- computational complexity