Enhanced sparse ISAR imaging by jointly using sparsity and low-rank properties.
Ming-Jiu LvWen-Feng ChenJian-chao MaQi ChengJun YangXiao-yan MaPublished in: Digit. Signal Process. (2021)
Keyphrases
- low rank
- sparsity constraints
- regularized regression
- low rank matrix
- rank minimization
- low rank matrices
- group lasso
- linear combination
- missing data
- convex optimization
- matrix factorization
- high dimensional data
- robust principal component analysis
- singular value decomposition
- low rank representation
- sparse representation
- high order
- high dimensional
- matrix completion
- semi supervised
- tensor factorization
- trace norm
- pairwise
- elastic net
- sparse approximation
- higher order
- structured sparsity
- recommender systems
- denoising
- nonnegative matrix factorization
- small number
- isar imaging
- negative matrix factorization
- data points
- inverse synthetic aperture radar
- singular values