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arXiv · 1411.0516

A non-iterative method for the electrical impedance tomography based on joint sparse recovery

Abstract

The purpose of this paper is to propose a non-iterative method for the inverse conductivity problem of recovering multiple small anomalies from the boundary measurements. When small anomalies are buried in a conducting object, the electric potential values inside the object can be expressed by integrals of densities with a common sparse support on the location of anomalies. Based on this integral expression, we formulate the reconstruction problem of small anomalies as a joint sparse recovery and present an efficient non-iterative recovery algorithm of small anomalies. Furthermore, we also provide a slightly modified algorithm to reconstruct an extended anomaly. We validate the effectiveness of the proposed algorithm over the linearized method and the MUSIC algorithm by numerical simulations.

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BibTeXRIS

Ok Kyun Lee, Hyeonbae Kang, Jong Chul Ye, Mikyoung Lim. 2015-02-09. A non-iterative method for the electrical impedance tomography based on joint sparse recovery. https://doi.org/10.1088/0266-5611%2F31%2F7%2F075002

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