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
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;
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
DOI :
10.1109/ISSPA.1999.818133