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dc.provenanceFacultad de Ciencias Exactas y Naturales de la UBA-
dc.contributorLord, J.W.-
dc.contributorRast, M.P.-
dc.contributorMckinlay, C.-
dc.contributorClyne, J.-
dc.contributor<div class="autor_fcen" id="5788">Mininni, P.D.</div>-
dc.creatorLord, J.W.-
dc.creatorRast, M.P.-
dc.creatorMckinlay, C.-
dc.creatorClyne, J.-
dc.creator<div class="autor_fcen" id="5788">Mininni, P.D.</div>-
dc.date.accessioned2018-05-04T21:56:15Z-
dc.date.accessioned2018-05-28T15:48:43Z-
dc.date.available2018-05-04T21:56:15Z-
dc.date.available2018-05-28T15:48:43Z-
dc.date.issued2012-
dc.identifier.urihttp://10.0.0.11:8080/jspui/handle/bnmm/68546-
dc.descriptionWe examine the decomposition of forced Taylor-Green and Arn'old-Beltrami-Childress (ABC) flows into coherent and incoherent components using an orthonormal wavelet decomposition. We ask whether wavelet coefficient thresholding based on the Donoho-Johnstone criterion can extract a coherent vortex signal while leaving behind Gaussian random noise. We find that no threshold yields a strictly Gaussian incoherent component, and that the most Gaussian incoherent flow is found for data compression lower than that achieved with the fully iterated Donoho-Johnstone threshold. Moreover, even at such low compression, the incoherent component shows clear signs of large-scale spatial correlations that are signatures of the forcings used to drive the flows. © 2012 American Institute of Physics.-
dc.descriptionFil:Mininni, P.D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.-
dc.formatapplication/pdf-
dc.languageeng-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightshttp://creativecommons.org/licenses/by/2.5/ar-
dc.sourcePhys. Fluids 2012;24(2)-
dc.source.urihttp://digital.bl.fcen.uba.ar/Download/paper/paper_10706631_v24_n2_p_Lord.pdf-
dc.subjectCoherent vortices-
dc.subjectForcings-
dc.subjectGaussian random noise-
dc.subjectGaussians-
dc.subjectSpatial correlations-
dc.subjectWavelet coefficient thresholding-
dc.subjectGaussian distribution-
dc.subjectWavelet decomposition-
dc.subjectData compression-
dc.titleWavelet decomposition of forced turbulence: Applicability of the iterative Donoho-Johnstone threshold-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:ar-repo/semantics/artículo-
dc.typeinfo:eu-repo/semantics/publishedVersion-
Aparece en las colecciones: FCEN - Facultad de Ciencias Exactas y Naturales. UBA

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