Parameter estimation of superimposed signals using the EM algorithm.
Meir FederEhud WeinsteinPublished in: IEEE Trans. Acoust. Speech Signal Process. (1988)
Keyphrases
- parameter estimation
- em algorithm
- expectation maximization
- maximum likelihood
- mixture model
- generative model
- maximum likelihood estimation
- likelihood function
- log likelihood
- posterior distribution
- gaussian mixture
- gibbs sampling
- incomplete data
- parameter estimation algorithm
- gaussian mixture model
- hyperparameters
- maximum a posteriori
- expectation maximisation
- random fields
- approximate inference
- unsupervised learning
- hidden variables
- parameter learning
- structure learning
- markov chain monte carlo
- bayesian model selection
- machine learning
- mixture modeling
- bayesian framework
- least squares
- feature vectors