第4章，详细介绍了反问题的正则化算法，并给出算法模型。
Chapter 4 introduces the regularization method theory. Its algorithm description is also given.
基于同伦映射的思想，改进了求解非线性反问题的梯度正则化算法。
Based on idea of homotopy mapping, an improved gradient regularization algorithm was developed.
本文深入研究了正则化算法在二维弹性薄壁结构中的具体应用方案。
In this thesis, the regularization algorithm is applied to the analysis of thin-walled structures in tow-dimensional elasticity problems.
第3章研究和分析了基于小波的图像复原算法，包括小波域的阈值反卷积算法、迭代正则化算法和参数模型算法。
Chapter 3 studies and analyzes the wavelet-based image restoration algorithms, including threshold deconvolution algorithm, iterative regularization algorithm and parameter model algorithm.
实验是建立在仿生复眼图像上，实验结果证明了这两种正则化的迭代算法的有效性。
Experiments were based on bionic compound eye images. And the results demonstrated that the suggested method requires less time in image reconstruction.
实验结果表明，正则化条码信号复原算法在消除系统点扩散函数的影响的同时能够很好地抑制噪声。
The experimental results show that the regularization algorithm of the restoration of bar code signal can restrain the noise effectively when it is eliminating the effect of the point spread function.
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。
A new ERT reconstruction algorithm based on regularized general inverse method is presented. Images are reconstructed using data got from ERT simulation software.
针对闪光照相系统成像信噪比低的特点，提出了正则化预优约束共轭梯度算法(RPCCG)。
Based on the constrained conjugate gradient algorithm, a regularization preconditioned constrained conjugate gradient algorithm (RPCCG) was proposed for image-reconstruction for radiography.
本文提出了求解复杂结构弹塑性物性辨识问题的正则化最小二乘迭代反演算法。
The regularized least square iterative algorithm has been presented for the estimation of material parameters of complicated structures.
基于正则化变分的框架，提出了SAR图像目标超分辨的变范数算法。
Based on the framework of regularization variation, we proposed a superresolution algorithm of SAR image targets using variable norms.
本文是在MPI网络并行环境中，将求解二维热物性方程参数的反问题用正则化方法结合并行遗传算法进行数值求解。
This thesis focuses on determination of parameters in a two-dimension heat conduction equation on the MPI network parallel environment, by solving an inverse problem using the regularization method.
在分析电容层析成像基本原理和图像重建算法的基础上，提出一种结合正则化优化修正的共轭梯度算法。
Based on the analysis of basic principle of electrical capacitance tomography and the image reconstruction algorithm, a conjugate gradient algorithm with optimized regularization is proposed.
该算法通过对正则化线性斜率的自适应，更新动态优化代价函数，以降低对PET图像高频成分的抑制。
This algorithm can adaptively optimize the cost function and reduce the suppression of high frequency component of PET image by adaptively updating linear slope of the RP.
对空间自适应正则化图像盲复原方法的理论和相应算法进行分析。
This thesis analyzes the theoretics of a space-adaptive regularization method for blind image restoration.
最后根据正则化参数的确定原则，采用精度高和适应性更好的遗传算法确定最优正则化参数。
In the end, the genetic algorithms which has better precision and efficiency is adopted for finding the optimal regularization parameter based on the solution rule of regularization parameter.
基于最大熵正则化构造了一种新的稳定的带限信号正则外推算法。
In this paper, a new stable band -limited signal regularized extrapolation algorithm is constructed on basis of the maximum regularization.
本文将广义最小方差策略与极点配置策略相结合并采用正则化及相对死区技术提出了一种鲁棒自校正显式算法，并给出了鲁棒性分析，物理实验结果和仿真结果。
A self-tuning robust explicit algorithm with normalization and dead-zone is presented combining generalized minimum variance with pole-placement strategy , with the robustness discussed.
各子频段采用不同的正则化算子。实验结果表明该算法的盲图象恢复的性能优于空域算法。
The experiment results show that the proposed algorithm is superior to the general spatial domain in the quality of the restored image.
正则最小二乘算法将正则化网络和节点删除算法结合起来，大大提高了前馈网络的泛化性能。
The algorithm improves the generalization performance of feedforward neural networks through combining the regularization and pruning technology.
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。
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.
提出一种基于小波变换的迭代正则化图象恢复算法，兼顾抑制噪声的增长和保留图象重要边界。
A wavelet based on iteration regularized image restoration algorithm is presented. Consideration is given to both the noise suppression and edge preservation.
对实际测量数据进行处理表明，迭代正则化反卷积算法能够计算出固体电介质中的空间电荷分布。
Finally, the original experimental data are dealt with and the real space charge distribution in dielectrics is obtained.
基于吉洪诺夫正则化理论，研究了一种适合变形监测的单频单历元算法。
Based on Tikhonov regularization, a new single epoch algorithm suitable for deformation monitoring using single frequency GPS receivers is proposed.
首先，提出了一种基于改进正则化方法的有限角度CT图像重建算法。
Firstly, a modified Tikhonov regularization ct image reconstruction algorithm from limited-angle is proposed.
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。
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.
提出了一种基于各向异性和非线性正则化的湍流退化图像复原新算法。
A new algorithm is proposed for restoring the turbulence-degraded images by use of anisotropic and nonlinear regularization.
介绍电容层析成像系统的基本原理，着重介绍了一种基于正则化修正的图像重建算法；
The basic principle of electrical capacitance tomography system is introduced, and an image-reconstruction algorithm based on revised regularization method is also provided.
正则化方法是提高SAR图像分辨率的有效方法，但传统的迭代算法计算速度较慢。
Regularization method is effective to improve the resolution of SAR image, but the traditional iterative method for resolving the regularization model runs slow.
正则化方法是提高SAR图像分辨率的有效方法，但传统的迭代算法计算速度较慢。
Regularization method is effective to improve the resolution of SAR image, but the traditional iterative method for resolving the regularization model runs slow.
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