A consistent, numerically efficient Bayesian framework for combining the selection, detection and estimation tasks in model-based signal processing.
Anthony QuinnPublished in: ICASSP (4) (1993)
Keyphrases
- bayesian framework
- signal processing
- prior knowledge
- generative model
- bayesian model
- posterior probability
- gaussian process
- prior distribution
- hyperparameters
- maximum a posteriori
- bayesian formulation
- expectation maximization
- posterior distribution
- image processing
- probability density function
- higher order
- bayesian networks
- similarity measure
- machine learning