Please use this identifier to cite or link to this item: https://doi.org/10.1063/1.2207317
Title: Dynamical noise filter and conditional entropy analysis in chaos synchronization
Authors: Wang, J. 
Lai, C.-H. 
Issue Date: 2006
Source: Wang, J., Lai, C.-H. (2006). Dynamical noise filter and conditional entropy analysis in chaos synchronization. Chaos 16 (2) : -. ScholarBank@NUS Repository. https://doi.org/10.1063/1.2207317
Abstract: It is shown that, in a chaotic synchronization system whose driving signal is exposed to channel noise, the estimation of the drive system states can be greatly improved by applying the dynamical noise filtering to the response system states. If the noise is bounded in a certain range, the estimation errors, i.e., the difference between the filtered responding states and the driving states, can be made arbitrarily small. This property can be used in designing an alternative digital communication scheme. An analysis based on the conditional entropy justifies the application of dynamical noise filtering in generating quality synchronization. © 2006 American Institute of Physics.
Source Title: Chaos
URI: http://scholarbank.nus.edu.sg/handle/10635/96275
ISSN: 10541500
DOI: 10.1063/1.2207317
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