Joint noise distribution parameter estimation and LDPC decoding using variational Bayes.
Yaser Mohammad TaheriM. Omair AhmadM. N. S. SwamyPublished in: MWSCAS (2014)
Keyphrases
- parameter estimation
- variational bayes
- posterior distribution
- exponential family
- maximum likelihood
- statistical models
- hyperparameters
- em algorithm
- model selection
- markov chain monte carlo
- expectation maximization
- bayesian learning
- markov random field
- free energy
- least squares
- approximate inference
- bayesian inference
- parameter estimation algorithm
- noise level
- decoding algorithm
- log likelihood
- probability distribution
- graphical models
- gaussian mixture model
- parameter values
- latent dirichlet allocation
- gaussian distribution
- signal to noise ratio
- noise reduction
- latent variables
- random variables
- computer vision
- missing data
- structure learning
- maximum a posteriori
- closed form
- cross validation
- mixture model
- co occurrence
- pairwise