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：一种新的有用组合，熟悉的信号处理技术，称为小波自相关分析，用于利用Gabor小波函数的帮助来分析二维涡流流的相干结构。小波自相关分析可以表达统计自相关分析可以在规模和时间延迟方面表达任何信号的统计自相关。结果发现，WR（A，Tau）中的分支结构揭示了周期性的大涡运动包括周期性的小涡流运动。在X / D = 10处的剪切层中，清楚地观察到具有= 15,40,75,100和150ms的周期性涡流运动。
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