@inproceedings{a1e687e777144d16ab426bbc979810f8,
title = "Modeling chaotic systems with hidden Markov models",
abstract = "The problem of modeling chaotic nonlinear dynamical systems using hidden Markov models is considered. A hidden Markov model for a class of chaotic systems is developed from noise-free observations of the output of that system. A combination of vector quantization and the Baum-Welch algorithm is used for training. The importance of this combined iterative approach is demonstrated. The model is then used for signal separation and signal detection problems. The difference between maximum likelihood signal estimation and maximum a posteriori signal estimation using a hidden Markov model is illustrated for a nonlinear dynamical system.",
author = "Cory Myers and Andrew Singer and Frances Shin and Eugene Church",
note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 ; Conference date: 23-03-1992 Through 26-03-1992",
year = "1992",
doi = "10.1109/ICASSP.1992.226385",
language = "English (US)",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "565--568",
booktitle = "ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing",
address = "United States",
}