A Partially-Relaxed Robust DOA Estimator Under Non-Gaussian Low-Rank Interference and Noise.
Minh Trinh-HoangMohammed Nabil El KorsoMarius PesaventoPublished in: ICASSP (2021)
Keyphrases
- low rank
- missing data
- rank minimization
- low rank matrix
- low rank representation
- low rank subspace
- high dimensional data
- robust principal component analysis
- matrix factorization
- convex optimization
- matrix completion
- linear combination
- singular value decomposition
- estimation error
- matrix decomposition
- trace norm
- semi supervised
- high order
- least squares
- missing values
- foreground detection
- higher order
- image processing
- low rank matrices
- similarity measure