Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement.
Jun HeMing-Wei GaoLei ZhangHao WuPublished in: Algorithms (2013)
Keyphrases
- signal recovery
- low rank and sparse
- robust principal component analysis
- compressive sensing
- low rank subspace
- low rank
- orthogonal matching pursuit
- compressed sensing
- sparse representation
- random projections
- dictionary learning
- image denoising
- image representation
- image interpolation
- projections onto convex sets
- denoising
- pattern recognition
- computer vision