Please use this identifier to cite or link to this item: https://doi.org/10.1063/1.2207317
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dc.titleDynamical noise filter and conditional entropy analysis in chaos synchronization
dc.contributor.authorWang, J.
dc.contributor.authorLai, C.-H.
dc.date.accessioned2014-10-16T09:21:33Z
dc.date.available2014-10-16T09:21:33Z
dc.date.issued2006
dc.identifier.citationWang, 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
dc.identifier.issn10541500
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/96275
dc.description.abstractIt 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1063/1.2207317
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentPHYSICS
dc.description.doi10.1063/1.2207317
dc.description.sourcetitleChaos
dc.description.volume16
dc.description.issue2
dc.description.page-
dc.identifier.isiut000238729600021
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