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.
Analysis of PIV Image Using Modal Wavelet Transform: Proposal of a Modal Wavelet Transform and Application to PIV Image Analysis
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Yamazaki, T, Takei, M, Hassan, YA, Villafuerte, JO, Saito, Y, & Horii, K. "Analysis of PIV Image Using Modal Wavelet Transform: Proposal of a Modal Wavelet Transform and Application to PIV Image Analysis." Proceedings of the ASME/JSME 2003 4th Joint Fluids Summer Engineering Conference. Volume 2: Symposia, Parts A, B, and C. Honolulu, Hawaii, USA. July 6–10, 2003. pp. 255-260. ASME. https://doi.org/10.1115/FEDSM2003-45031
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