A SIREN neural network with hand-tuned frequency scaling reconstructs pressure from noisy PIV/LPT data with lower error than OS-MODI and Green's function integration, and needs no mesh.
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Pressure Field Reconstruction with SIREN: A Mesh-Free Approach for Image Velocimetry in Complex Noisy Environments
A SIREN neural network with hand-tuned frequency scaling reconstructs pressure from noisy PIV/LPT data with lower error than OS-MODI and Green's function integration, and needs no mesh.