• DocumentCode
    1309779
  • Title

    Spherically Invariant Vector Random Fields in Space and Time

  • Author

    Du, Juan ; Ma, Chunsheng

  • Author_Institution
    Dept. of Stat., Kansas State Univ., Manhattan, KS, USA
  • Volume
    59
  • Issue
    12
  • fYear
    2011
  • Firstpage
    5921
  • Lastpage
    5929
  • Abstract
    This paper is concerned with spherically invariant or elliptically contoured vector random fields in space and/or time, which are formulated as scale mixtures of vector Gaussian random fields. While a spherically invariant vector random field may or may not have second-order moments, a spherically invariant second-order vector random field is determined by its mean and covariance matrix functions, just like the Gaussian one. This paper explores basic properties of spherically invariant second-order vector random fields, and proposes an efficient approach to develop covariance matrix functions for such vector random fields.
  • Keywords
    Gaussian processes; covariance matrices; random processes; vectors; covariance matrix function; elliptically contoured vector random field; mean function; spherically invariant second-order vector random field; spherically invariant vector random fields; vector Gaussian random field; Covariance matrix; Linear matrix inequalities; Stochastic processes; Vectors; Covariance matrix function; Gaussian random field; cross covariance; direct covariance; elliptically contoured random field; spherically invariant stochastic process; variogram;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2011.2166391
  • Filename
    6004842