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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)Report (Other academic)
Abstract [en]

In this contribution three examples of techniques that can be used for state order estimation of hidden Markov models are given The methods are also exem plied using real laser range data and the computa tional burden of the three methods is discussed Two techniques Maximum Description Length and Maximum a Posteriori Estimate are shown to be very sim ilar under certain circumstances The third technique Predictive Least Squares is novel in this context

Place, publisher, year, edition, pages
Linköping: Linköping University , 1995. , 5 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1703
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-55153ISRN: LiTH-ISY-R-1703OAI: oai:DiVA.org:liu-55153DiVA: diva2:315734
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2014-10-06Bibliographically approved

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Millnert, Mille

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Automatic ControlThe Institute of Technology
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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