Array processing in non-Gaussian noise with the EM algorithm.
Richard J. KozickBrian M. SadlerRick S. BlumPublished in: ICASSP (1998)
Keyphrases
- em algorithm
- expectation maximization
- maximum likelihood
- mixture model
- maximum likelihood estimation
- parameter estimation
- incomplete data
- generative model
- gaussian mixture model
- likelihood function
- gaussian mixture
- probability density function
- log likelihood
- likelihood maximization
- model based clustering
- gaussian distribution
- noise level
- expectation maximisation
- mixture modeling
- hidden variables
- penalized likelihood
- maximum a posteriori
- unsupervised learning
- probabilistic model
- finite mixture models
- clustering algorithm
- bayesian framework
- missing values
- missing data
- mixture distribution
- denoising
- k means