Knowledge Network Approach to Noise Reduction

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dc.creatorBerrones, Arturo
dc.date2006-09-06
dc.date.accessioned2026-07-07T07:26:02Z
dc.date.available2026-07-07T07:26:02Z
dc.descriptionPrevious preliminary results on the application of knowledge networks to noise reduction in stationary harmonic and weakly chaotic signals are extended to more general cases. The formalism gives a novel algorithm from which statistical tests for the identification of deterministic behavior in noisy stationary time series can be constructed.
dc.description9 pages, 21 figures
dc.identifierhttps://arxiv.org/abs/physics/0609048
dc.identifierhttp://arxiv.org/abs/physics/0609048
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/116931
dc.subjectData Analysis, Statistics and Probability
dc.subjectDisordered Systems and Neural Networks
dc.titleKnowledge Network Approach to Noise Reduction
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