论文标题
统计处理,傅立叶和模态分解
Statistical Treatment, Fourier and Modal Decomposition
论文作者
论文摘要
这些是“统计处理,傅立叶和模态分解”讲座的讲义,在VKI讲座系列“基本原理以及粒子图像速度仪和拉格朗日粒子跟踪的最新进展”中给出了讲座。该课程于2021年11月15日至11月18日在Von Karman流体动力学研究所举行。该讲座通过通过图像Velocimetry获取的数据来提供指导之旅。该领域的详尽说明远非需要整个课程,而是提供一个动手教程。这始于基本的统计处理,简要回顾频率和模态分析,并以更高级的研究主题(例如多尺度模态分解和降低非线性维度降低)结论。涵盖的材料应希望将新移民推向该主题,同时还向有经验的从业者感兴趣。与本讲座相关的所有代码均在GitHub存储库上提供。
These are lecture notes for the lecture "Statistical Treatment, Fourier and Modal Decompositions", given at the VKI Lecture series "Fundamentals and Recent Advances in Particle Image Velocimetry and Lagrangian Particle Tracking". The course was held at the von Karman Institute for fluid dynamics from 15 November to 18 November 2021. This lecture provides a guided tour through the processing of data acquired via image velocimetry. Far from being an exhaustive account of the field, which would require an entire course on its own, the scope is to provide a hands-on tutorial. This begins with basic statistical treatment, briefly reviews frequency and modal analysis, and conclude with more advanced research topics such as multiscale modal decompositions and nonlinear dimensionality reduction. The material covered should hopefully propel newcomers into the subject while remaining of interest to experienced practitioners. All the codes related to this lecture are made available on a github repository.