On Compressed Sensing Matrices Breaking the Square-Root Bottleneck.
Shohei SatakeYujie GuPublished in: CoRR (2020)
Keyphrases
- compressed sensing
- square root
- image reconstruction
- kalman filtering
- floating point
- random projections
- natural images
- sparse representation
- arrival rate
- signal processing
- probability density function
- covariance matrices
- euclidean space
- original data
- singular value decomposition
- pattern recognition
- optical flow
- kalman filter
- data sets
- super resolution
- dimensionality reduction
- feature space
- data analysis
- high quality
- riemannian manifolds
- feature extraction
- computer vision