One-bit compressive sampling with time-varying thresholds: Maximum likelihood and the Cramér-Rao bound.
Christopher GianelliLuzhou XuJian LiPetre StoicaPublished in: ACSSC (2016)
Keyphrases
- rao bound
- maximum likelihood
- compressive sampling
- compressive sensing
- compressed sensing
- image reconstruction
- em algorithm
- expectation maximization
- transform domain
- sparse representation
- maximum a posteriori
- random projections
- gaussian distribution
- spatial domain
- additive noise
- depth from defocus
- higher order
- orthogonal matching pursuit
- hyperparameters
- natural images