DocumentCode :
2027083
Title :
Adaptive signal processing techniques for chaotic systems
Author :
Rauf, Fawad ; Ahmed, Hassan M.
Author_Institution :
Nonlinear Modeling Lab., Boston, MA, USA
Volume :
3
fYear :
1993
fDate :
27-30 April 1993
Firstpage :
563
Abstract :
The issue of modeling chaotic systems is addressed. Present methods for treating chaotic dynamics are based on state space reconstruction through delay embedding. These approaches are computationally intensive and are adversely affected by noise in the experimental time series. The authors take a different approach and apply an adaptive layered structure for estimation of chaotic dynamics. They show that presently used spatial local approximations are not necessary and that their temporal adaptive local approximations perform better, are tolerant to noise factors, and save an order of magnitude in computations, and data requirements.<>
Keywords :
adaptive filters; approximation theory; chaos; computational complexity; adaptive layered structure; chaotic dynamics; chaotic systems; computations; signal processing techniques; temporal adaptive local approximations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
ISSN :
1520-6149
Print_ISBN :
0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.1993.319560
Filename :
319560
Link To Document :
بازگشت