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；
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。
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)。
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。
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。
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。
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。
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。
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。
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。
This paper introduces the application background and basic methods of blind image restoration briefly, analyzes the degradation model of image and the ill-posed problem during restoration in detail.
本文简要介绍了盲目图像复原的应用背景及基本方法，详细分析了图像退化模型及图像复原过程中的病态问题。
Image super-resolution restoration and enhancement (SR) based on reconstruction is a typically ill-posed and high-dimensional problem, which needs effective regularization to stable the solution.
基于重建的超分辨率（SR）方法中，图像求解是典型的高维病态问题，需借助有效的正则来稳定求解。
Regularization Theory is introduced as a natural framework for studying this classic, ill posed problem which otherwise admits an infinite number of solutions.
而正规化理论就成为研读经典、非良置性问题的自然架构，得以容纳大量的解答方式。
The calculating method of ill-posed boundary value problem is discussed.
简要讨论了心电场逆问题的优化解法。
We analyze the ill-posed adaptive tracking problem in this setting.
本人们剖析病态在此设置的自顺应跟踪问题。
We analyze the ill-posed adaptive tracking problem in this setting.
本人们剖析病态在此设置的自顺应跟踪问题。
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