DocumentCode
3225291
Title
Non linear filtering algorithms for chaotic signals: A comparative study
Author
Kontorovich, V. ; Lovtchikova, Z.
Author_Institution
Electr. Eng. Dept., CINVESTAV-IPN, Mexico City, Mexico
fYear
2009
fDate
20-21 July 2009
Firstpage
221
Lastpage
227
Abstract
A comparative study related to the approximate methods of nonlinear filtering for chaotic signals is presented in this paper. In the following, we considered chaos models given as the output signals of three well known strange attractors: Lorenz, Chua and Rossler. From the implementation point of view for real time applications of the approximate nonlinear filtering algorithms, the extended Kalman filtering (EKF) could be the most prospective one.
Keywords
Kalman filters; nonlinear filters; chaotic signals; extended Kalman filtering; nonlinear filtering algorithms; Chaos; Chaotic communication; Differential equations; Electronic mail; Filtering algorithms; Interference; Markov processes; Maximum likelihood detection; Nonlinear filters; Stochastic resonance; Nonlinear filtering; approximate algorithms; chaotic signals;
fLanguage
English
Publisher
ieee
Conference_Titel
Nonlinear Dynamics and Synchronization, 2009. INDS '09. 2nd International Workshop on
Conference_Location
Klagenfurt
ISSN
1866-7791
Print_ISBN
978-1-4244-3844-0
Type
conf
DOI
10.1109/INDS.2009.5227999
Filename
5227999
Link To Document