Forward-Looking Super-Resolution Imaging of MIMO Radar via Sparse and Double Low-Rank Constraints.
Junkui TangZheng LiuLei RanRong XieJikai QinPublished in: Remote. Sens. (2023)
Keyphrases
- low rank
- low rank matrix
- rank minimization
- low rank matrices
- robust principal component analysis
- low rank subspace
- sparse linear
- linear combination
- sparsity constraints
- matrix factorization
- nuclear norm
- low rank representation
- convex optimization
- group sparsity
- kernel matrices
- missing data
- matrix completion
- matrix decomposition
- low rank approximation
- singular value decomposition
- high dimensional data
- regularized regression
- tensor decomposition
- semi supervised
- high order
- kernel matrix
- binary matrices
- singular values
- machine learning
- high dimensional
- signal processing
- trace norm
- minimization problems
- sparse coding
- collaborative filtering
- least squares
- small number
- low rank and sparse
- compressive sensing
- sparse matrix
- neural network