• DocumentCode
    1431853
  • Title

    2-D-Recursive Modelling of Homogeneous Discrete Gaussian Markov Fields

  • Author

    Carravetta, Francesco

  • Author_Institution
    Ist. di Analisi dei Sist. ed Inf. Antonio Ruberti, Consiglio Naz. delle Ric., Rome, Italy
  • Volume
    56
  • Issue
    5
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    1198
  • Lastpage
    1203
  • Abstract
    A 2-D-stochastic realization is obtained for an homogeneous discrete Gaussian Markov-field in two dimensions. In specific, it is shown that such Markov fields can be represented as the (unique) pathwise solution of a 2-D-recursive system of equations, with a locally-correlated “forcing-noise.” The idea of stochastic “dynamic” system in two dimensions gets realized this way. Two types of domain are considered: spheric and rectangular.
  • Keywords
    Gaussian processes; Markov processes; discrete systems; stochastic systems; 2D recursive modelling; homogeneous discrete Gaussian Markov field; stochastic dynamic system; Correlation; Equations; Kernel; Markov processes; Mathematical model; Nickel; Pixel; Modeling; realization theory; stochastic fields; stochastic systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2011.2107114
  • Filename
    5696740