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
Link To Document