The visualization of turbulence data using a wavelet‐based method

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.

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