Wavelet decomposition of forced turbulence: Applicability of the iterative Donoho-Johnstone threshold

Autores
Lord, J.W.; Rast, M.P.; Mckinlay, C.; Clyne, J.; <div class="autor_fcen" id="5788">Mininni, P.D.</div>
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
Versión publicada
Descripción
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 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.
Fil:Mininni, P.D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fuente
Phys. Fluids 2012;24(2)
Materia
Coherent vortices
Forcings
Gaussian random noise
Gaussians
Spatial correlations
Wavelet coefficient thresholding
Gaussian distribution
Wavelet decomposition
Data compression
Nivel de accesibilidad
Acceso abierto
Licencia
http://creativecommons.org/licenses/by/2.5/ar
Repositorio
Biblioteca Digital (UBA-FCEN)
Institución
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
OAI Identificador
snrd:HASH9da648ad9fb32f05d688cf