On quantized compressed sensing with saturated measurements via convex optimization.
Ines ElleuchFatma AbdelkefiMohamed SialaRidha HamilaNaofal Al-DhahirPublished in: EUSIPCO (2016)
Keyphrases
- convex optimization
- compressed sensing
- basis pursuit
- image reconstruction
- random projections
- sparse representation
- natural images
- total variation
- convex relaxation
- signal processing
- signal recovery
- dimensionality reduction
- super resolution
- data sets
- higher order
- principal component analysis
- dimension reduction
- data analysis
- pattern recognition
- multiscale
- high quality
- orthogonal matching pursuit
- computer vision