simulation

simple program in matlab for making zoom to an image

Matlab函数库 绝对值、模、字符的ASCII码值 acos 反余弦 acosh 反双曲余弦 acot 反余切 acoth 反双曲余切 acsc 反余割 acsch 反双曲余割 align 启动图形对象几何位置排列工具 all 所有元素非零为真 angle 相角 ans 表达式计算结果的缺省变量名 any 所有元素非全零为真 。。。。。。。。。。。。(Matlab library absolute value, mode, the ASCII character code value acos inverse cosine acosh hyperbolic cosine acot anti-anti-anti-acoth hyperbolic cotangent cosecant cotangent acsc anti-anti-acsch hyperbolic cosecant align start position of the geometric arrangement of tools for drawing objects all True angle all the elements of non-zero phase angle for the calculation of the default expression ans variable names all the elements of any non-all-zero is true. . . . . . . . . . . .)

说明：  基于色彩分割的matlab程序，完成人脸定位(Matlab program based on color segmentation, face detection completed)

QPSK with selection diversity

matlab 工程分析教程，适用于利用matlab进行电信、网络等方向工程分析人员。(A teaching material of engeneer analysis in matlab.)

说明：  基本的蒙特卡洛方法入门程序，简单易懂，适用于初学者！(a easy MCM program ,suit to the students.)

图像立体匹配中区域匹配源码,实现了左右2副图像的区域匹配，得到了相应的视差图。(stero matching . region matching)

重点参考文章！ PA Mazen 2002 Performance analysis of two-hop relayed transmission over rayleigh fading channels 介绍无线中继的文章 比较适合入门的同学 而且内附matlab代码 可以仿真做出全部结果(Key reference articles! PA Mazen 2002 Performance analysis of two-hop relayed transmission over rayleigh fading channels introduce wireless repeater articles for starters students with full simulation matlab code can make all results)

基于多频（三频）的离散频谱校正，应用比值法，加矩形窗和汉宁窗。(Discrete spectrum correction based on the multi-frequency (C-band), the application of the ratio method, plus a rectangular window and Hanning window.)

分别用BP神经网络和RBF神经网络实现近红外光谱的汽油辛烷值预测，两种方法用相对误差以及决定系数进行性能评价，最后绘制图仿真曲线。有较为详细的注释，并有仿真数据(Respectively with BP neural network and RBF neural network Near Infrared Spectroscopy Gasoline Octane prediction, two methods relative error and the coefficient of determination for performance uation, the final sketch simulation curve. There are more detailed comments, and a simulation data)