Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity
Wei DaiOlgica MilenkovicPublished in: CoRR (2008)
Keyphrases
- compressive sensing
- image recovery
- random projections
- sparse representation
- compressive sampling
- orthogonal matching pursuit
- image representation
- signal reconstruction
- low dimensional
- signal processing
- high dimensional data
- high dimensional
- dimensionality reduction
- worst case
- structured sparsity
- distributed source coding
- computer vision
- dimension reduction
- image features
- pattern recognition
- feature extraction