A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix.
Kyong Hwan JinDongwook LeeJong Chul YePublished in: CoRR (2015)
Keyphrases
- low rank
- compressed sensing
- image reconstruction
- singular value decomposition
- convex optimization
- low rank matrix
- linear combination
- missing data
- matrix factorization
- sparse representation
- matrix decomposition
- rank minimization
- matrix completion
- random projections
- high order
- semi supervised
- high dimensional data
- natural images
- singular values
- trace norm
- signal processing
- low rank and sparse
- dimensionality reduction
- high resolution
- super resolution
- higher order
- collaborative filtering
- signal recovery
- pattern recognition