Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales
Article
Article Title | Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales |
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ERA Journal ID | 1018 |
Article Category | Article |
Authors | Mi, Jianchun (Author), Deo, Ravinesh C. (Author) and Nathan, Graham J. (Author) |
Journal Title | Physical Review E |
Journal Citation | 71 (6), pp. 1-5 |
Number of Pages | 5 |
Year | 2005 |
Publisher | American Physical Society |
Place of Publication | College Park, MD, United States |
ISSN | 1539-3755 |
1550-2376 | |
2470-0045 | |
2470-0053 | |
Digital Object Identifier (DOI) | https://doi.org/10.1103/PhysRevE.71.066304 |
Web Address (URL) | http://link.aps.org/doi/10.1103/PhysRevE.71.066304 |
Abstract | The present fundamental knowledge of fluid turbulence has been established primarily from hot- and coldwire 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 |
Keywords | fluid turbulence; Kolmogorov scales; plane jet; signal processing |
ANZSRC Field of Research 2020 | 401213. Turbulent flows |
400607. Signal processing | |
401299. Fluid mechanics and thermal engineering not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Adelaide |
https://research.usq.edu.au/item/9zqy1/fast-convergent-iterative-scheme-for-filtering-velocity-signals-and-finding-kolmogorov-scales
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