A new ERT reconstruction algorithm based on regularized general inverse method is presented. Images are reconstructed using data got from ERT simulation software.

提出一种正则化广义逆ert图像重建算法，利用ERT仿真软件得到的数据进行图像重建。

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The unsuitable iterative number of the Regularized Orthogonal Matching Pursuit (ROMP) algorithm in the framework of Compressive Sensing (CS) may reduce the quality of image reconstruction greatly.

在压缩感知框架下运用正则化正交匹配追踪(ROMP)算法进行图像重构时，迭代次数取值不合适会严重降低重构图像的质量。

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