Figure7.9

说明：  多边形裁剪是逐次多边裁剪法，它的基本思想是以窗口的四条边界线单一逐次对多边形裁剪(polygon clipping is Successive multilateral cutting, its basic idea is a window four successive boundaries of a single polygon clipping)

本程序是关于异常处理的相关程序以及如何处理的事例(This procedure is on the exception handling procedures and how to deal with cases)

显示当前系统运行的进程，并能够查看进程中所加载的模块(show the system process and modules)

利用ARIMA处理分析时间序列，计算数列相关性和数字特征并通过计算所得值进行一定范围的预测(ARIMA processing analysis time sequence, to calculate a number of columns and digital characterized by the calculated value for a certain range of the prediction)

光流法是用于目标跟踪：对于一个连续的视频帧序列进行处理；针对每一个视频序列，利用一定 目标检测方法，检测可能出现的前景目标；如果某一帧出现了前景目标，找到其具有代表性的关键特征点；对之后的任意两个相邻视频而言，寻找上一帧中出现的关键特征点在当前帧中的最佳位置，从而得到前景目标在当前帧中的位置坐标；如此迭代进行，便可实现目标的跟踪。

FDTD Solutions 是一款三维麦克斯韦方程求解软件，可以分析紫外、可见、红外至太赫兹和微波频率段电磁波与具有亚波长典型尺寸复杂结构的相互作用。 FDTD Solutions 使得设计师能够从容地面对光子设计复杂的挑战问题。快速原型制造和高精度仿真大大降低对费用高昂的原型试验的依赖，因而可以对设计概念进行快速评价，进而缩短产品研发周期，降低费用。 FDTD Solutions 可以帮助你成功应对各种复杂的应用，从基础光子学研究，到目前工业界领先应用领域如成像、照明、生物光子学、光伏、以及众多其他应用。(FDTD Solutions is a three-dimensional software for solving Maxwell' s equations, we can analyze the ultraviolet, visible, infrared and microwave to terahertz frequencies of electromagnetic waves having a typical size of subwavelength interaction of complex structures. FDTD Solutions allows designers to calmly face the complex photonic design challenges. Rapid prototyping and simulation precision greatly reduce dependence on costly prototype testing, which can quickly uate design concepts, and thus shorten the product development cycle and reduce costs. FDTD Solutions can help you successfully deal with a variety of complex applications, leading application areas such as imaging, lighting, biophotonics, photovoltaics, and many other applications basic photonics research, the current industry.)

TinyXML是一个开源的解析XML的解析库，能够用于C++，能够在Windows或Linux中编译。这个解析库的模型通过解析XML文件，然后在内存中生成DOM模型，从而让我们很方便的遍历这棵XML树(TinyXML is an open source parsing XML parsing library that can be used in C++, Windows or Linux can be compiled. The analytical model by parsing the XML file, then the DOM model generated in memory, so that we easily traverse the XML tree tree)

L曲线选择正则化参数,适用于正则化算法中选取正则化参数反演( L-curve)

用matlab 实现强噪声中弱信号的提取，可产生图像 一次生成(Using matlab to achieve strong noise in the extraction of weak signal can produce a generation of images)

用matlab编写的基于人脸识别系统,文献可参考"Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection."已经测试过程序可正常运行没有问题(Prepared using matlab face recognition system based on the literature may refer to " Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection." Procedures have been tested there is no problem running)