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The method of fundamental solutions for detection of cavities in EIT

机译:用于检测EIT中空腔的基本解决方法

摘要

In this paper, the method of fundamental solutions (MFS) is used to solve numerically an inverse problem which consists of finding an unknown cavity within a region of interest based on given boundary Cauchy data. A range of examples are used to demonstrate that the technique is very effective at locating cavities in both two- and three-dimensional geometries for exact input data. The technique is then developed to include a regularisation parameter that enables cavities to be located accurately and stably even for noisy input data.
机译:在本文中,基本解法(MFS)用于数值求解反问题,该反问题包括基于给定的边界柯西数据在感兴趣区域内找到未知空腔。一系列示例用于证明该技术在精确输入数据的二维和三维几何形状中定位空洞非常有效。然后,将该技术开发为包括一个正则化参数,该参数即使对于嘈杂的输入数据也可以准确,稳定地定位空腔。

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