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The effect of noise on complex permittivity reconstruction in mathematical breast model

机译:噪声对数学乳腺模型中复介电常数重建的影响

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Cancer detection in breast using microwave imaging relies on accuracy of complex permittivity reconstruction. Microwave imaging is highly sensitive to noise due to low amplitude of scattered electric field. In this paper, the effect of noise on complex permittivity reconstruction is shown using different noise scenarios. In the presence of noise, performance of our inversion method is better than iterative and regularized inversion methods.
机译:使用微波成像检测乳房中的癌症取决于复介电常数重建的准确性。由于散射电场的振幅低,微波成像对噪声高度敏感。在本文中,使用不同的噪声场景显示了噪声对复介电常数重建的影响。在存在噪声的情况下,我们的反演方法的性能优于迭代和规则化的反演方法。

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