A generalized graphical model to specify A/D resolution from receiver front-end.
Shenjie WangCatherine DehollainPublished in: ICECS (2012)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- probabilistic graphical models
- probabilistic inference
- bayesian networks
- approximate inference
- structure learning
- map inference
- exact inference
- conditional random fields
- belief networks
- factor graphs
- message passing
- graph structure
- statistical inference
- conditional dependencies
- gaussian graphical models
- structural learning
- conditional independence
- markov networks
- low resolution
- high resolution
- parameter learning