One-bit compressed sensing with partial Gaussian circulant matrices.
Sjoerd DirksenHans Christian JungHolger RauhutPublished in: CoRR (2017)
Keyphrases
- compressed sensing
- image reconstruction
- random projections
- natural images
- sparse representation
- compressive sampling
- least squares
- fourier transform
- maximum likelihood
- singular value decomposition
- orthogonal matching pursuit
- signal recovery
- fourier domain
- higher order
- feature vectors
- pairwise
- compressive sensing
- object recognition
- image segmentation