Article

Abstract

• We 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 thresh- olding 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.

Creator

• Rast, Mark P.
• Clyne, John
• McKinlay, Christopher
• Mininni, Pablo D.
• Lord, Jesse W.

Date Issued

• 2012-01-01

Academic Affiliation

• Astrophysical and Planetary Sciences (APS)

Journal Title

• Physics of Fluids

Journal Volume

• 24

File Extent

• 025102

Subject

• Wavelet Transform
• Turbulence

Zuletzt geändert

• 2019-12-05

Resource Type

• Article

Urheberrechts-Erklärung

• In Copyright

DOI

• doi:10.1063/1.3683556

Language

• English [eng]

Beziehungen

Artikel

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	waveletDecompositionOfForcedTurbulenceApplicabilityOfThe.pdf	2019-12-05	Öffentlichkeit	Herunterladen