Restricted isometry constant improvement based on a singular value decomposition-weighted measurement matrix for compressed sensing.
Qian WangGangrong QuPublished in: IET Commun. (2017)
Keyphrases
- measurement matrix
- random projections
- singular value decomposition
- dimensionality reduction
- dimension reduction
- null space
- sparse representation
- factorization method
- least squares
- image reconstruction
- principal component analysis
- random sampling
- original data
- missing data
- singular values
- low dimensional
- multiscale
- structure from motion
- natural images
- active learning
- high dimensional
- pairwise