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Inverse moving source problem in acoustics

讲座摘要

This talk concerns the uniqueness and stability on the inverse problem of recovering the trajectory for a moving source in acoustics using partial boundary data measured in a finite time interval. Due to the strong Huygens' principle in three dimensions, we use the Fourier transform to transform the time domain problem into a frequency domain problem, to which techniques from inverse source problem by multi-frequency data can be applied. This problem finds important applications in industrial areas such as aviation and gesture recognition. In the beginning of this talk, I will give a brief review of the recent developments in inverse source problems in both frequency and time domain.


个人简介

赵越,2017年毕业于美国普渡大学获博士学位,现任华中师范大学副教授。主要从事科学计算、数值分析和偏微分方程反问题等工作,特别是光学、电磁学和波动方程中正反散射问题的研究。现已发表论文10余篇。曾获加拿大约克大学YSF博士后学术奖学金。