T. Nozaki's scientific contributions

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Publications (1)

Wavelet cross-correlation analysis and its application to two-dimensional vortex flow
  • Article

January 1996

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7 Reads

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4 Citations

H. Li

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T. Nozaki

A new combination of familiar techniques of signal processing, which is called a wavelet cross-correlation analysis, is proposed and its main properties are also presented. The wavelet cross-correlation analysis can express the cross-correlation characteristics of two arbitrary signals as a function of time delay. As the practical application to vortex flow, the cross-correlation characteristics of the two velocity signals in a plane turbulent jet at various positions are analyzed for revealing the similar structure of the eddy and apparent flapping motions in terms of time delay and period.

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