A new useful combination of familiar techniques of signal processing, called a wavelet auto-correlation analysis, is used to analyze the coherent structure of two-dimensional vortex flow with help of the Gabor wavelet function. The wavelet auto-correlation analysis can express the statistical auto-correlation analysis can express the statistical auto-correlation of any signal in terms of scale and time delay. It is found that the branching structures in WR(a, tau) reveal that a periodic large eddy motion contains the periodic small eddy motions. In the shear layer at x/d=10, the periodic eddy motions with a=15, 40, 75, 100 and 150ms are clearly observed.
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机译：一种新的有用的信号处理熟悉技术的组合，称为小波自相关分析，借助Gabor小波函数来分析二维涡流的相干结构。小波自相关分析可以表示统计自相关分析，可以在比例和时间延迟方面表示任何信号的统计自相关。发现WR（a，tau）中的分支结构揭示出周期性的大涡运动包含周期性的小涡运动。在x / d = 10的剪切层中，可以清楚地观察到a = 15、40、75、100和150ms的周期性涡旋运动。
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