A Loewner Matrix Based Convex Optimization Approach to Finding Low Rank Mixed Time/Frequency Domain Interpolants.
Rajiv SinghMario SznaierPublished in: ACC (2020)
Keyphrases
- low rank
- convex optimization
- low rank matrix
- matrix completion
- nuclear norm
- rank minimization
- norm minimization
- trace norm
- kernel matrix
- low rank matrix recovery
- interior point methods
- low rank and sparse
- total variation
- singular values
- convex optimization problems
- primal dual
- kernel matrices
- data matrix
- convex relaxation
- image processing
- minimization problems
- singular value decomposition
- high order
- missing data
- wavelet transform
- multiresolution