• DocumentCode
    745744
  • Title

    Linear, Random Representations of Chaos

  • Author

    Drake, Daniel F. ; Williams, Douglas B.

  • Author_Institution
    Sch. of Medicine, Emory Univ., Atlanta, GA
  • Volume
    55
  • Issue
    4
  • fYear
    2007
  • fDate
    4/1/2007 12:00:00 AM
  • Firstpage
    1379
  • Lastpage
    1389
  • Abstract
    Although there may be some disagreement as to the precise definition of chaos, it is generally characterized as a nonlinear, deterministic phenomenon. For a class of common chaotic systems, this paper introduces equivalent descriptions in the form of linear, time-invariant (LTI) systems with random inputs. Such models have many advantages as they are much better matched to traditional signal and system theory. The outputs of these LTI systems will be shown to be indistinguishable from the outputs of the corresponding chaotic systems. Specifically, for a given random input the LTI system will generate exactly the same output as the corresponding chaotic map with a certain initial condition
  • Keywords
    IIR filters; chaos; discrete time systems; nonlinear dynamical systems; signal representation; IIR filters; chaos random representations; discrete-time chaotic dynamical systems; nonlinear modeling; random inputs; system theory; time-invariant systems; Chaos; Entropy; History; Kalman filters; Multiaccess communication; Orbits; Piecewise linear techniques; Random processes; Signal processing; Signal synthesis; Chaos; nonlinear modeling;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2006.888885
  • Filename
    4133028