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Three Techniques for State Order Estimation of Hidden Markov Models
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1995 (English)In: Proceedings of the 1995 International Conference on Acoustics, Speech and Signal Processing, 1995, Vol. 3, 1812-1815 p.Conference paper, Published paper (Refereed)
Abstract [en]

Three examples of techniques that can be used for state order estimation of hidden Markov models are given. The methods are also exemplified using real laser range data, and the computational burden of the three methods is discussed. Two techniques, maximum description length and maximum a posteriori estimate, are shown to be very similar under certain circumstances. The third technique, predictive least squares, is novel in this context.

Place, publisher, year, edition, pages
1995. Vol. 3, 1812-1815 p.
Keyword [en]
Hidden Markov models, Image processing, Laser ranging, State estimation, Prediction theory, Least squares approximation
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-94132DOI: 10.1109/ICASSP.1995.480089ISBN: 0-7803-2431-5 (print)OAI: oai:DiVA.org:liu-94132DiVA: diva2:629263
Conference
1995 International Conference on Acoustics, Speech and Signal Processing, Detroit, MI, USA, May, 1995
Available from: 2013-06-16 Created: 2013-06-16 Last updated: 2013-06-16

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Millnert, Mille

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