Sampling size in Monte Carlo Bayesian compressive sensing.
Ioannis KyriakidesRadmila PribicPublished in: SAM (2014)
Keyphrases
- monte carlo
- compressive sensing
- compressive sampling
- monte carlo methods
- importance sampling
- markov chain monte carlo
- sparse representation
- monte carlo simulation
- random projections
- markov chain
- adaptive sampling
- signal processing
- particle filter
- bayesian networks
- point processes
- image representation
- computational complexity
- multiscale
- monte carlo tree search
- compressed sensing
- matrix inversion
- machine learning
- orthogonal matching pursuit
- maximum likelihood
- variance reduction
- posterior probability