• DocumentCode
    1155100
  • Title

    Stationary Random Fields in Space and Time With Rational Spectral Densities

  • Author

    Ma, Chunsheng

  • Author_Institution
    Dept. of Math. & Stat., Wichita State Univ., KS
  • Volume
    53
  • Issue
    3
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    1019
  • Lastpage
    1029
  • Abstract
    This paper introduces three spatio-temporal stationary random fields with simple correlation functions and rational spectral densities. The correlation functions have similar forms, but are defined on different space-time domains or related to different spatial norms. Positive and negative correlations are allowed, and the domain of certain model parameters may rely on the spatial dimensional parameter so that the model may be available in a limited space or in all dimensions. The distinctions are discussed among the three basic correlation models. Moreover, families of spatio-temporal stationary random fields are derived by randomizing the spatial and temporal coordinates of the base random fields. The resulting correlation functions are semiparametric, and include separable spatio-temporal models as special cases
  • Keywords
    correlation methods; space-time adaptive processing; spatiotemporal phenomena; spectral analysis; rational spectral density; semiparametric correlation function; space-time domain; spatio-temporal models; stationary random fields; Atmospheric modeling; Biological system modeling; Biology computing; Computational modeling; Fourier series; Fourier transforms; Power system modeling; Space stations; Stochastic systems; Surges; Correlation function; Fourier series; Fourier transform; isotropic; long-range dependence; power-law decay; spectral density; stationary;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2006.890721
  • Filename
    4106129