M2Exe

对于通行工程里的两种调制方式PAM和QAM进行了性能仿真，并对他们的性能进行了比较。有信噪比，误码率等重要参数比较。还有具体的文档说明。(For the passage of two works in the PAM and QAM modulation for the performance simulation, and their performance compared. There is signal to noise ratio, bit error rate and other important parameters. There are specific documentation.)

说明：  主要用于初学者的有关遗传算法的MATLAB的应用.这里应用了少量的工具箱,对初学者很有帮助.(Mainly for beginners of the Genetic Algorithm MATLAB applications. Here the application of a small amount of kit, very helpful for beginners.)

说明：  不同导频长度(6,10,20)情况下的信道估计程序，(Different pilot length (6,10,20) in case of channel estimation procedures)

用于三分类的BP算法程序,matlab源码(three classifications for the BP algorithm procedures, Matlab FOSS)

列出了matlaba最常用的工具箱函数，包括最小二乘函数，样条函数等等(Lists the most commonly used matlaba toolbox function, including least-squares function, and so on spline function)

分析电力系统风电出力数据的状态转移概率。在得到两三年的风电场发电出力数据后，可用该程序分析风电出力的具体变化，以及风电出力在相邻时刻不同状态之间的转移概率。(Analysis of power system wind power output data state transition probabilities. In two or three years to get the wind farm power output data, the program can analyze specific changes in wind power output, as well as wind power output in the adjacent time transition probabilities between different states.)

快速傅里叶变换过程描述，matlab运行环境中实现(Fast Fourier Transform process description, matlab environment to achieve)

该程序用盖氏圆盘方法（GDE）计算均匀直线阵（ULA）中信号源个数估计性能随SNR的变化情况,采用Monte-Carlo模拟。 (estimate the number of source using GDE criterion)

简易四则运算计算器，使用时需将.m和.fig文件放到matlab工作目录下（本人使用的是R2013，放到bin文件夹即可，其他版本放到对应文件夹，有的是work文件夹），然后在命令窗口输入.m文件的文件名，即可显示一个简易计算器界面。有0-9九个数字供点击输入数，有重置和正负号按钮，界面简洁，功能耐用(Simple arithmetic calculator should be used with the. M and. Fig file into matlab working directory (I use the R2013, into the bin folder to the other versions into the corresponding folder, some work folder) , and then in the command window. filenames m file to display a simple calculator interface. 0-9 nine figures for the number of click enter, and the sign has reset button, the interface is simple, functional and durable)

这个是基于matlab制作的KNN 识别器的写法(This is K-Nearest Neighbour classifier used in pattern recognition.)