Maximum likelihood parameter estimation and subspace fitting of superimposed signals by dynamic programming - An approximate method.
Sze Fong YauYoram BreslerPublished in: Signal Process. (1992)
Keyphrases
- parameter estimation
- maximum likelihood
- dynamic programming
- em algorithm
- maximum likelihood estimation
- model selection
- model fitting
- least squares
- parameters estimation
- expectation maximization
- random fields
- statistical models
- gaussian distribution
- markov random field
- covariance matrices
- pairwise
- parameter values
- prior information
- machine learning
- structure learning
- probabilistic model
- linear models
- likelihood function