Clutter Suppression for Indoor Self-Localization Systems by Iteratively Reweighted Low-Rank Plus Sparse Recovery.
Jesús Sánchez-PastorUdaya Sampath K. Perera Miriya ThanthrigeFurkan IlgacAlejandro Jiménez-SáezPeter JungAydin SezginRolf JakobyPublished in: Sensors (2021)
Keyphrases
- low rank
- low rank matrix
- rank minimization
- low rank matrices
- linear combination
- convex optimization
- robust principal component analysis
- group sparsity
- matrix completion
- matrix factorization
- sparsity constraints
- tensor decomposition
- low rank subspace
- nuclear norm
- singular value decomposition
- small number
- compressive sensing
- kernel matrices
- kernel matrix
- high dimensional data
- low rank representation
- low rank and sparse
- pattern recognition
- machine learning