Expectation-maximization (EM) algorithm for instantaneous frequency estimation with Kalman smoother.
Mohammad Emtiyaz KhanD. Narayana DuttPublished in: EUSIPCO (2004)
Keyphrases
- em algorithm
- expectation maximization
- mixture model
- parameter estimation
- maximum likelihood
- gaussian mixture model
- generative model
- maximum likelihood estimation
- probabilistic model
- gaussian mixture
- image segmentation
- probability density function
- incomplete data
- likelihood function
- unsupervised learning
- likelihood maximization
- model based clustering
- gibbs sampling
- log likelihood
- finite mixture model
- penalized likelihood
- hidden variables
- bayesian framework
- maximum a posteriori
- k means
- parameter learning
- computer vision
- density estimation
- pairwise