quadetest

tells the spots to open and to flag in a 5*5 minesweeper(needs to be called again and again) can be expanded for bigger minesweeper games easily

Matlab5 手册，既适合初学者，也适合高级matlab用户，有目录和每一章的pdf文件(Matlab5 manuals, both suitable for beginners, but also suitable for senior matlab users directory and each chapter has the pdf file)

一个关于FSK的matlab编写的小程序，欢迎大家指正讨论(FSK s matlab on the preparation of small procedures, welcome to correct me to discuss)

多径多普勒信道模型，包括快衰落，慢衰落，频率选择性衰落，平坦衰落等(Ruili fading channel simulation, including delays, multi-path condition, the simulation can directly call functions)

1.本程序是自己刚刚接触SAR时编写的时域星载SAR点目标回波仿真，包含了卫星轨道模型、计算星目斜距时用到的各种坐标系转换、SAR回波计算模型以及简单的SAR成像模型，希望对初学者有所帮助。 2.相应的参考资料可查找《卫星轨道姿态动力学与控制》及《魏钟铨_合成孔径雷达卫星》；(1. This program is just contact with their own prepared when the time domain SAR spaceborne SAR point target echo simulation, contains the satellite orbit model, the satellite project when the use of a variety of slant range coordinate system conversion, SAR echo calculation model and SAR imaging model simple, want to help beginners. 2. The corresponding reference can be to find " satellite attitude and orbit dynamics and control" and " Wei Zhong Quan _ synthetic aperture radar satellites" )

matlab画史密斯圆图的程序，可以画出基本的圆图，方便使用(this is a code file of drawing Smith Chart by Matlab, a basic chart can be drawn and it s fit for use.)

8fsk的SDFT解调与普通DFT解调算法的对比(SDFT of 8fsk ordinary DFT demodulation demodulation algorithm comparison)

The C++ Programming Language.Third Edition - Bjarne Stroustrup.1997.pdf(The C++ Programming Language.Third Edition- Bjarne Stroustrup.1997.pdf)

这是MATLAB学习LSDA降维方法的核心程序，将降维后的特征用支持向量机进行训练和识别！(This is a MATLAB dimension reduction methods to study the core of LSDA process will feature after dimension reduction using support vector machine training and recognition!)

Chapter 8. Numerical Optimization Algorithm 8.1 Golden Search for a Minimum Algorithm 8.2 Nelder-Mead s Minimization Method Algorithm 8.3 Local Minimum Search Using Quadratic Interpolation Algorithm 8.4 Steepest Descent or Gradient Method