Premium
The visualization of turbulence data using a wavelet‐based method
Author(s) -
Keylock C. J.
Publication year - 2006
Publication title -
earth surface processes and landforms
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.294
H-Index - 127
eISSN - 1096-9837
pISSN - 0197-9337
DOI - 10.1002/esp.1423
Subject(s) - wavelet , thresholding , turbulence , computer science , visualization , matlab , signal (programming language) , energy (signal processing) , event (particle physics) , process (computing) , flow (mathematics) , wavelet transform , data mining , multiresolution analysis , artificial intelligence , wavelet packet decomposition , mathematics , statistics , geography , meteorology , physics , image (mathematics) , geometry , quantum mechanics , programming language , operating system
This technical communication presents some MATLAB ® routines for visualizing the structure in turbulent signals based on a standard conditional averaging and thresholding approach. Up to three velocity components may be analysed and the resulting output highlights the time at which important flow events occur as well as the frequency levels that contribute the greatest energy to this particular event. The latter information is derived from a wavelet decomposition of the signal and may assist in providing a process‐based explanation of observed flow features. Copyright © 2006 John Wiley & Sons, Ltd.