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
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;
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
DOI :
10.1109/SSP.2009.5278612