DocumentCode
1657493
Title
Bayesian filtering with discrete-valued state
Author
Suzdaleva, Evgenia ; Nagy, Ivan ; Pavelková, Lenka
Author_Institution
Inst. of Inf. Theor. & Autom., Acad. of Sci. of the Czech Republic, Prague, Czech Republic
fYear
2009
Firstpage
173
Lastpage
176
Abstract
The paper deals with estimation of a state with discrete values. The proposed estimation technique is evolved as an application of Bayesian filtering to a state-space model with discrete distribution. The example of filtering is shown with Bernoulli distributions. The considered problem is one of the items aiming at filtering with mixed continuous and discrete state. Illustrative experiments demonstrate the filtering with discrete simulated data from the traffic control area, which is a potential application domain of the research.
Keywords
Bayes methods; filtering theory; state estimation; Bayesian filtering; Bernoulli distribution; discrete distribution; discrete-valued state estimation; mixed continuous state; state-space model; traffic control; Adaptive filters; Adaptive systems; Bayesian methods; Filtering theory; Hidden Markov models; Information filtering; Information filters; Particle filters; State estimation; Traffic control; Bayesian filtering; State-space model; discrete distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Conference_Location
Cardiff
Print_ISBN
978-1-4244-2709-3
Electronic_ISBN
978-1-4244-2711-6
Type
conf
DOI
10.1109/SSP.2009.5278612
Filename
5278612
Link To Document