On-line estimation of hidden Markov model parameters based on the Kullback-Leibler information measure
- 1 January 1993
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 41 (8), 2557-2573
- https://doi.org/10.1109/78.229888
Abstract
No abstract availableThis publication has 14 references indexed in Scilit:
- Hidden Markov model signal processing in presence of unknown deterministic interferencesIEEE Transactions on Automatic Control, 1993
- Sequential algorithms for parameter estimation based on the Kullback-Leibler information measureIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- A tutorial on hidden Markov models and selected applications in speech recognitionProceedings of the IEEE, 1989
- Reduced-state sequence estimation with set partitioning and decision feedbackIEEE Transactions on Communications, 1988
- An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech RecognitionBell System Technical Journal, 1983
- A nonlinear fixed-lag smoother for finite-state Markov processesIEEE Transactions on Information Theory, 1975
- Discrete-time fixed-lag smoothing algorithmsAutomatica, 1973
- Information matrix for a mixture of two normal distributionsJournal of Statistical Computation and Simulation, 1972
- Junction potentials, electrode standard potentials, and other problems in interpreting electrical properties of membranesThe Journal of Membrane Biology, 1970
- Statistical Inference for Probabilistic Functions of Finite State Markov ChainsThe Annals of Mathematical Statistics, 1966