Multilist

MFC Windows程序设计(第二版)中文版 很多人说孙鑫或者vc++技术内幕很经典，但是我要说这本书才是（我认为）学习mfc最经典的教材。至于深入浅出mfc太注重底层细节技术，就像看电视知道怎么开就行，不需要知道太多集成电路板的原理。 另外学习mfc还有没有必要，我觉得有个承上启下的作用，很多mfc编写的大量源代码可以参考，自己重新写可能有点费劲。新的.net平台也支持,并且有了c++基础学习C#其实也很快。 可以单独下载，单独解压。看着觉得合适再下载其他部分。(MFC Windows Programming (second edition) A lot of people say the Chinese version of SUN Xin or vc technology is a classic insider, but I have to say this book is (I think) mfc learning materials and classic. As easy mfc too focused on the bottom of the details of technology, like watching television know how to open on the line, do not need to know that too many of the principles of integrated circuit board. In addition there is no need to learn mfc there, I think there is a role of connecting many mfc prepared a large number of source code can refer to his own re-write may be a bit strenuous. New. Net platform also supports, and with c -based learning is also soon CSharp. Available as a separate download, a separate decompression. Looking at the right feel)

多个机器人编队控制 形成统一队形到达目标点的程序(robot path)

用opencv写的摄像头畸变校正程序，mfc版（vc6.0），程序注释详细，参数都已调好，内附详细说明使用文档(Camera distortion correction program written with opencv, mfc (vc6.0), the program comment in detail, the parameters have been fine, enclosing a detailed description of use document)

入门教程及实例,C51控制继电器的仿真实验，完整的源码及porteus仿真原理图。(Introductory tutorial and examples C51 control rela y simulation experiment, the source and the principle diagram of the simulation. )

支持向量机的程序，包括支持向量机 Matlab 示例程序四种支持向量机用于函数拟合与模式识别的 Matlab 示例程序(Support vector machine program)

about tapi component

wifi机器人 用C++做的上位机 可以实现对机器人和小车的远程控制以及无线视频的传输(wifi robot using C++ to do the PC can transmit remote control robot and the car as well as wireless video)

通用三维FDTD方法代码UPML吸收边界条件，二维FDTD  TE波圆柱仿真，二维MUR吸收方柱散射

串口转以太网通信的例子,有需要的可以参考参考,vc6写的.(Examples of serial to Ethernet communications, we need to refer to reference, vc6 written.)

说明：  子空间辨识法的文章，详细介绍了子空间辨识法的步骤和用法以及三种算法的区别。(In the article of subspace identification, the steps and usage of subspace identification and the difference of three algorithms are introduced in detail.)