• 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