http://www.cnr.it/ontology/cnr/individuo/prodotto/ID168145
Recursive Optimal Smoothing for Finite State Hidden Reciprocal Processes (Articolo in rivista)
- Type
- Label
- Recursive Optimal Smoothing for Finite State Hidden Reciprocal Processes (Articolo in rivista) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/TAC.2011.2141510 (literal)
- Alternative label
White, L.B.; Carravetta, F. (2011)
Recursive Optimal Smoothing for Finite State Hidden Reciprocal Processes
in IEEE transactions on automatic control (Print); IEEE, Institute of electrical and electronics engineers, New York (Stati Uniti d'America)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- White, L.B.; Carravetta, F. (literal)
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- http://www.nd.edu/~ieeetac/ (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- Rapporto di Ricerca IASI-CNR N. 11-2 (literal)
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- L. B. White, School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide 5067, Australia (e-mail: lang.white@adelaide. edu.au).
F. Carravetta, Insituto di Analisi dei Sistemi ed Informatica \"An- tonio Ruberti,\" Consiglio Nazionale della Ricerche, Roms 00185, Italy (e-mail: francesco.carravetta@iasi.cnr.it). (literal)
- Titolo
- Recursive Optimal Smoothing for Finite State Hidden Reciprocal Processes (literal)
- Abstract
- This technical note addresses modelling and estimation of a class of finite state random processes called hidden reciprocal chains (HRC). A hidden reciprocal chain consists of a finite state reciprocal process, together with an observation process conditioned on the recip- rocal process much as in the case of a hidden Markov model (HMM). The key difference between Markov models and reciprocal models is that reciprocal models are non-causal. The technical note presents a characterization of a HRC by a finite set of hidden Markov bridges, which are HMMs with the final state fixed. The technical note then uses this characterization to derive the optimal fixed interval smoother for a HRC. Performance of linear and optimal smoothers derived for both HMM and HRC are compared (using simulations) for a class of HRC derived (literal)
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