• DocumentCode
    350695
  • Title

    Nonlinear signals self-similarity and asymptotical estimations of ideal topological stabilization

  • Author

    Dailyudenko, V.F.

  • Author_Institution
    Inst. of Eng. Cybern., Acad. of Sci., Minsk, Byelorussia
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    143
  • Abstract
    Topological stabilization dynamics of Takens attractor is investigated when enlarging phase space dimension. The exact ideal topological stabilization is shown to be impossible for chaotic attractors, so the method of asymptotical investigation of topological changes is suggested. This method allows to reduce computer time and increase accuracy in comparison with local-topological analysis proposed previously. Numerical simulations showed the high accuracy and reliability of proposed method
  • Keywords
    chaos; estimation theory; signal processing; topology; Takens attractor; accuracy; asymptotical estimations; asymptotical investigation; chaotic attractors; ideal topological stabilization; nonlinear signals; phase space dimension; reliability; self-similarity; topological changes; Australia; Biomedical signal processing; Chaos; Cybernetics; Fractals; Information analysis; Numerical simulation; Radio frequency; Sequences; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
  • Conference_Location
    Brisbane, Qld.
  • Print_ISBN
    1-86435-451-8
  • Type

    conf

  • DOI
    10.1109/ISSPA.1999.818133
  • Filename
    818133