Analysis of PIV Image Using Modal Wavelet Transform: Proposal of a Modal Wavelet Transform and Application to PIV Image Analysis
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Particle image velocimetry (PIV) vector image data of a uniform flow and of arbitrary length is decomposed using a new modal wavelet transform with both Dirichlet and Neumann boundary conditions. The Neumann boundary condition is found to be most suitable for PIV vector image data of a uniform flow. It is also found that when the summation of multi-resolution data is performed for more than 10 levels, the number and severity of error vector increases.
author list (cited authors)
Yamazaki, T., Takei, M., Hassan, Y. A., Villafuerte, J. O., Saito, Y., & Horii, K.