Filling Gaps in Chaotic Time Series

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dc.creatorPaparella, Francesco
dc.date2005-02-19
dc.date.accessioned2026-07-07T08:08:56Z
dc.date.available2026-07-07T08:08:56Z
dc.descriptionWe propose a method for filling arbitrarily wide gaps in deterministic time series. Crucial to the method is the ability to apply Takens' theorem in order to reconstruct the dynamics underlying the time series. We introduce a functional to evaluate how compatible is a filling sequence of data with the reconstructed dynamics. An algorithm for minimizing the functional with a reasonable computational effort is then discussed.
dc.description14 pages (REVTeX preprint), 4 figures
dc.identifierhttps://arxiv.org/abs/nlin/0502044
dc.identifierhttp://arxiv.org/abs/nlin/0502044
dc.identifierPhys. Letters A, 346 (2005) 47-53.
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131432
dc.subjectChaotic Dynamics
dc.titleFilling Gaps in Chaotic Time Series
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