书籍代码《C#专业项目实例开发（修订版）》

说明：  实现键盘触发叔叔，键盘任意按键停止数数，从而达到抽签的目的(The realization of the keyboard to trigger uncle, keyboard keys to stop any count, so as to achieve the purpose of drawing)

基于局部二值模式的人脸识别范例,其中中选用了YALE人脸库作为仿真数据源。 (The local binary pattern based face recognition example, YALE face database was selected as the simulation data source.)

手势识别基于matlab源代码,包括相应的源代码,可以直接运行,效果良好,适合初学者学习 (Gesture recognition based on the matlab source code, including the corresponding source code, can be directly run, the effect is good, suitable for beginners to learn )

信息输入输出查找删除插入更改显示保存建立(Telephone management system)

这个程序用来解决树结构与树之间的程序匹配的问题这个程序可以解决很多的问题(it is very good)

产品交付系统 此应用程序是用C＃编写的。我使用Microsoft Access作为我的数据库。 此应用程序的开发，E-采购项目在本地销售的人。 我用了两个层。一个用于数据库访问其他演示的东西。 我已经使用地铁的接口，用于主Window.And使用图表分析的目的。(Item Delivery System This application is written by C#. I used Microsoft Access as my database. This application is developed for person that E-Buy items sell locally. I used two layers. One for Database accessing other for presentation things. I have used Metro like interface for Main Window.And used Chart for analysing purposes.)

说明：  考虑拉曼散射的matlab仿真，可用于对于光在光纤中传播的子程序。(Matlab simulation considering Raman scattering can be used as a subroutine of fiber laser simulation.)

用c语言实现的龙格库塔算法和阿当姆斯算法。是学习计算方法的入门级程序实例。(Using c language realize the Runge-Kutta algorithm and the Arab-Israeli Adams algorithm. Calculation method is to study the entry-level procedures.)

VTK面绘制读取DICOM医学图像，由于DICOM数据量很大无法上传提供(VTK surface mapping read DICOM medical images, because of DICOM can not upload a large amount of data to provide)

文中研究了6种常用数字调制信号识别的特征参数集，并采用决策树判别方法进行分类识别。仿真结果表明，在SNR≥5dB时，识别正确率在99 以上，且当SNR≥20dB时，识别正确率达到100 。其特点是，算法简单，识别正确率高，达到了自动分类识别的目的，并有利于实现识别的实时化。(In this paper, we study the set of characteristic parameters of the six kinds of commonly used digital modulation signal recognition, and decision tree method for classification. The simulation results show that SNR 鈮� 5dB, the correct rate more than 99 , and when SNR 鈮� 20dB, the correct rate of 100 . Which is characterized by simple algorithm to identify the correct rate, to achieve the purpose of automatic classification and recognition, and help to identify real-time.)