• DocumentCode
    3096890
  • Title

    On the identifiability of bilinear stochastic systems

  • Author

    Bourin, Christophe ; Bondon, Pascal

  • Author_Institution
    Lab. des Signaux et Syst., CNRS, Gif-sur-Yvette, France
  • fYear
    1997
  • fDate
    21-23 Jul 1997
  • Firstpage
    176
  • Lastpage
    180
  • Abstract
    Bilinear systems are useful to model nonlinear time series. They can be described by a nonlinear recursive equation involving a finite number of parameters. Their analysis and particularly the estimation of the parameters is of central interest. In this paper we establish difference equations between lagged moments and cumulants up to third-order of a simple bilinear model, and show how to use these relations to estimate the parameters
  • Keywords
    bilinear systems; difference equations; higher order statistics; nonlinear equations; recursive estimation; signal processing; stochastic systems; time series; bilinear stochastic systems; cumulants; difference equations; estimation; identifiability; lagged moments; nonlinear recursive equation; nonlinear time series; Bonding; Control theory; Ear; Kernel; Nonlinear equations; Nonlinear systems; Parameter estimation; Random variables; Signal processing; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
  • Conference_Location
    Banff, Alta.
  • Print_ISBN
    0-8186-8005-9
  • Type

    conf

  • DOI
    10.1109/HOST.1997.613511
  • Filename
    613511