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Conference Paper (international conference)
Comparison of State Estimation Using Finite Mixtures and Hidden Markov Models
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: Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems : Technology and Application, p. 527-531
: 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, (Prague, CZ, 15.09.2011-17.09.2011)
: CEZ:AV0Z10750506
: 1M0572, GA MŠk, TA01030123, GA TA ČR
: mixture models, hidden Markov models, state estimation, online estimation
(eng): Many various algorithms are developed for state estimation of dynamic switching systems. It is not a straightforward task to choose the most suitable one. This paper deals with testing of state estimation via two wellknown approaches: recursive estimation with finite mixtures and iterative technique with hidden Markov models. A discussion of comparison of these online and offline counterparts is of true interest. The paper describes experiments providing a comparison of these methods.
: BC