Uniform Recovery Bounds for Structured Random Matrices in Corrupted Compressed Sensing.
Peng ZhangLu GanCong LingSumei SunPublished in: CoRR (2017)
Keyphrases
- compressed sensing
- image reconstruction
- random projections
- sparse representation
- upper bound
- natural images
- compressive sampling
- lower bound
- signal processing
- singular value decomposition
- signal recovery
- worst case
- pairwise
- nearest neighbor
- fourier transform
- original data
- fourier domain
- orthogonal matching pursuit
- image processing