Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales

Mi, J., Deo, R. C. and Nathan, G. J. (2005) Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales. Physical Review E, 71 6: 066304-1-066304-5. doi:10.1103/PhysRevE.71.066304

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Author Mi, J.
Deo, R. C.
Nathan, G. J.
Title Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales
Journal name Physical Review E   Check publisher's open access policy
ISSN 1539-3755
Publication date 2005-06-01
Year available 2005
Sub-type Article (original research)
DOI 10.1103/PhysRevE.71.066304
Open Access Status File (Publisher version)
Volume 71
Issue 6
Start page 066304-1
End page 066304-5
Total pages 5
Place of publication New York
Publisher American Physical Society through the American Institute of Physics
Language eng
Abstract The present fundamental knowledge of fluid turbulence has been established primarily from hot- and cold-wire measurements. Unfortunately, however, these measurements necessarily suffer from contamination by noise since no certain method has previously been available to optimally filter noise from the measured signals. This limitation has impeded our progress of understanding turbulence profoundly. We address this limitation by presenting a simple, fast-convergent iterative scheme to digitally filter signals optimally and find Kolmogorov scales definitely. The great efficacy of the scheme is demonstrated by its application to the instantaneous velocity measured in a turbulent jet.
Keyword Physics, Fluids & Plasmas
Physics, Mathematical
Turbulent Velocity
Passive Scalar
Dissipation
Wake
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Geography, Planning and Environmental Management Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 17 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 20 times in Scopus Article | Citations
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Created: Mon, 13 Aug 2007, 15:20:07 EST