• DocumentCode
    327307
  • Title

    Multiscale realization and estimation for space and space-time problems

  • Author

    Ho, Terrence T. ; Frakt, Austin B. ; Willsky, Alan S.

  • Author_Institution
    MIT, Cambridge, MA, USA
  • fYear
    1998
  • fDate
    16-21 Aug 1998
  • Firstpage
    21
  • Abstract
    Although there have been significant advances in realization techniques for a class of multiscale stochastic models introduced by Willsky, Benveniste, Chou, et al. (1994), there remain a number of important open problems. We address two of them in this paper. The first is a new static realization method that is two orders of magnitude more efficient than methods previously available, but no less general. The second is the extension of this multiscale methodology to modeling dynamic systems
  • Keywords
    parameter estimation; parameter space methods; dynamic systems modeling; multisacle model parameters; multiscale estimation; multiscale realization; multiscale stochastic models; open problems; space problems; space-time problems; static realization method; Ear; Error analysis; Error correction; Estimation error; Reduced order systems; Smoothing methods; Statistics; Stochastic processes; Tree data structures; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7803-5000-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1998.708600
  • Filename
    708600