Reconstruction of low-rank jointly sparse signals from multiple measurement vectors.
Mehrrad MehrkamMohammad Ali TinatiTohid Yousefi RezaiiPublished in: Signal Image Video Process. (2019)
Keyphrases
- low rank
- rank minimization
- low rank matrix
- sparsity constraints
- binary matrices
- low rank matrices
- signal reconstruction
- convex optimization
- low rank subspace
- matrix decomposition
- missing data
- matrix factorization
- linear combination
- compressed sensing
- compressive sensing
- nuclear norm
- matrix completion
- singular value decomposition
- non rigid structure from motion
- kernel matrix
- binary matrix
- robust principal component analysis
- trace norm
- high dimensional data
- singular values
- semi supervised
- regularized regression
- kernel matrices
- low rank representation
- low rank approximation
- signal processing
- tensor decomposition
- high order
- feature vectors
- high dimensional
- image reconstruction
- discrete tomography
- data sets
- data matrix
- signal recovery
- small number
- low rank and sparse
- high resolution