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
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;
Conference_Titel :
Nonlinear Dynamics and Synchronization, 2009. INDS '09. 2nd International Workshop on
Conference_Location :
Klagenfurt
Print_ISBN :
978-1-4244-3844-0
DOI :
10.1109/INDS.2009.5227999
