Recovery of Jointly Sparse Signals from Few Random Projections.
Michael B. WakinMarco F. DuarteShriram SarvothamDror BaronRichard G. BaraniukPublished in: NIPS (2005)
Keyphrases
- random projections
- signal reconstruction
- compressive sensing
- compressed sensing
- sparse representation
- dimensionality reduction
- dimension reduction
- signal processing
- original data
- image reconstruction
- principal component analysis
- hash functions
- low dimensional
- random sampling
- information retrieval
- document clustering
- high dimensional
- data sets
- similarity search
- model selection
- nearest neighbor
- image data
- feature extraction
- distributed source coding