报告摘要: In this talk, we explore the mechanism of a new audio life detector that enables the localization of trapped people and the identification of the shape of buried debris. Based on the practical situation, the above process can be modeled as a double inverse model. The far-field data of different sound sources and obstacles are collected in both finite aperture and full aperture, and a parallel neural network is constructed to solve the problem of decreased computational accuracy caused by the lack of information in the double inverse model. Numerical experiments show the effectiveness of the method and the robustness of the network to noise.
长春理工大学孟品超教授学术报告通知
