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1·With normalization of the digital edge set, the ill-posed problem is effectively regularized.

通过对边缘点集的归一化运算，有效地正则化了提取椭圆的边缘点集的病态性；

2·The major advantage of MREIT is the high impedance resolution imaging and improvement of the ill-posed problem in conventional EIT.

其最大优点在于能得到高分辨率的阻抗分布图像，改善常规EIT技术的缺陷。

3·But your problem seems deeper than that: it seems to be an ill-posed problem (division of big Numbers by small Numbers usually are).

但你的问题似乎比这更深：这似乎是一个病态问题(小数除法的大数通常)。

4·It is well known that optical tomography(OT) is an ill-posed problem and some proper apriori information is incorporated in order to decrease the ill-poseness.

光学层析成像是一个病态重建过程，为降低重建过程中的病态特性，需加入合适的先验信息。

5·In order to deblur the image, deconvolution and waveform recovery are necessary. Deconvolution is an ill-posed problem. Bar code is a kind of bilevel waveform.

为了克服点扩展函数卷积造成的模糊，需要进行反卷积处理复原波形。

6·By introducing the prior information constraint in the objective function, we can solve the ill-posed problem and band-limited problem for the impedance inversion.

通过在目标函数中增加先验知识约束，我们可以解决波阻抗反演的病态问题及带限问题。

7·For improving the ill-posed problem of the space IBD method, an adaptive operator is proposed in this paper. The results show that the improved algorithm works well.

为了改进空域IBD算法的病态，提出了一种自适应正则化算子，取得了较好的恢复结果。

8·A new algorithm of deconvolution via window convolution operation is proposed, and the algorithm can solve the ill-posed problem occurring in deconvolution via circular convolution.

本文提出了一种用窗口卷积实现反卷积的新算法，这种算法解决了用圆周卷积计算反卷积时出现的病态问题。

9·As SFS is intrinsically an ill-posed problem, existing SFS algorithms can not reconstruct the shape very precisely. Therefore it is very important to enhance the restoration precision of SFS.

由于SFS固有的病态性，现有的SFS算法还不能十分精确地恢复物体表面形状，因此提高SFS的恢复精度具有重要的意义。

10·Blind image restoration has a strong background of mathematics, including estimation theory, ill-posed problem solution method, linear algebra, stochastic process, numerical analysis, and so on.

图像盲复原具有很强的数学背景，同估计理论、病态逆问题求解理论、线性代数、随机过程和数值分析等都有着密切的联系。