Optimization of regularized B-spline smoothing for turbulent Lagrangian trajectories
نویسندگان
چکیده
The denoising of Lagrangian trajectories based on regularized B-spline is investigated. aim to find systematic criteria for optimization algorithms used in 4D-PTV order optimize the quality measurements turbulent flows as well high-order turbulence statistics. We introduce and adapt this context two innovative tuning strategies which are commonly Tikhonov regularization inverse problems L-curve shape Normalized Cumulative Periodogram (NCP). corresponding tested synthetic computed from Direct Numerical Simulation with additional white Gaussian noise. Error-based quantities like Signal-to-Noise Ratio statistical investigated compare different strategies. then apply algorithm experimental data a Von Kármán flow. show ability those signal compared conventional methods. Moreover, more adaptable real
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ژورنال
عنوان ژورنال: Experimental Thermal and Fluid Science
سال: 2021
ISSN: ['1879-2286', '0894-1777']
DOI: https://doi.org/10.1016/j.expthermflusci.2021.110376