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This paper uses Tikhonov regulation method to solve the first kind Fredholm integral equation which gets the solution of the inverse problem in time,and based on the advantage of the genetic algorithms presents a ex- ample of inverse problem.

利用Tikhonov 正则化方法解第一类Fredholm积分方程获得该逆时反问题的解，并结合遗传算法的优点给出了一种反演的例子。

Finally, the realization methods of some algorithms are discussed, which including the choice of sampling frequence, handling of time-delay and invented hardware realization of neural networks.

本文在最后讨论了文中一些算法的实现问题，包括采样频率的选取，时延的处理，以及神经网络算法的硬件虚拟实现等。

Theoretical analysis proves that,when the pixel number,pixel size and reconstructed wavelength of the hologram are certain,computer simulated algorithms of Fresnel diffraction integral fall into convolution algorithm,angular spectrum algorithm and direct Fourier trans...

通过对相位函数局域空间频率的分析，给出了判定算法适用范围的特征再现距离，并分析得出，再现距离大于特征再现距离时，适合用卷积法；小于特征再现距离时，适合采用角谱法；等于特征再现距离时三种方法都适用。

The full-wave and half-wave Fourier transform algorithms are studied in their similarities and differences, and then applied to the same data for emulation test.

理论分析了全波差分傅氏算法和半波差分傅氏算法的异同。并采用这2种算法对同一组数据进行仿真验证。

Secondly,the one-step and multistep methods of the precise integration algorithms arederived by means of the integration of functional matrix by parts and interpolation function,and some recursion schemes suitable for precise integration are obtained.

然后，以函数矩阵的分部积分法和插值函数为工具，推导出精细积分的单步法和多步法，给出了多种精细积分的递推格式。

By analyzing the shortcoming of existing robust algorithms based on random sampling employed in estimating the fundamental matrix, a novel algorithm is proposed for optimal estimation of fundamental matrix.

分析了基于随机抽样检验思想的现有鲁棒算法在基本矩阵的求解问题中存在的不足，提出一种获得基本矩阵最优解的算法。

The main work is as following:(1) Robust algorithms for fundamental matrix. It is the foundation of camera calibration.

主要工作如下：(1)基本矩阵的鲁棒算法，它是摄像机标定的基础。

Our main work is asfollowing f(1) Robust algorithms for fundamental matrix.

主要工作如下：(1)基本矩阵的鲁棒算法。

The experimental results show that this algorithm has good robustness, and residual error and the distance is less than most other linear algorithms, improve the accuracy of the fundamental matrix.

实验结果表明，此算法具有良好的鲁棒性，且余差和对极距离都小于其他线性算法，提高了基础矩阵的精度。

Some fundamental algorithms on implicit surface modeling and rendering are well studied in this thesis.

本文主要研究隐式曲面造型与绘制的一些基础算法。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。