MATLABTutorial

Boots converter type power electronics in simulink

说明：  16QAM的数字通信系统的仿真，包括调制解调，上下变频，加入了高斯白噪声，并且每个步骤都生成相应的图形(16QAM digital communication system simulation, including the modulation and demodulation, frequency conversion from top to bottom, by adding a Gaussian white noise, and each step to generate the corresponding graphics)

显示图像，利用按键切换图像，可批量查看。MATLAB环境。(Display images, use keys to switch images, available in volume view. MATLAB environment.)

matlab中值滤波源代码，对于图像处理的人员有一定的参考意义。。(median filter matlab source code for image processing personnel have some reference value. .)

phich and time stretching done in matlab

人脸识别matlab代码，可判断是否是库里的人(Face recognition MATLAB code)

说明：  遗传算法matlab工具 1.工具箱文件拷贝至Matlab文件夹下，具体路径为：C:\program files\MATLAB\R2009a\toolbox。 2.工具箱路径加入Matlab文件路径之中。 流程为：File-->Set Path-->Add Folder。即，将C:\program files\MATLAB\R2009a\toolbox\文件夹加入该路径系统中。 3 重新启动Matlab，运行即可。 4 一般情况下，会出现如下情况。 安装遗传工具箱后出现问题：Warning: Name is nonexistent or not a directory: \afs\eos\info\ie\ie589k_info 解决方案： 将C:\program files\MATLAB\R2009a\toolbox\文件夹下的startup.m文件中的路径“\afs\eos\info\ie\ie589k_info\”改为goat当前所在的目录，“C:\program files\MATLAB\R2009a\toolbox\”即可。(Genetic algorithm matlab tool 1. Matlab toolbox files are copied to the folder, the specific path is: C: \ program files \ MATLAB \ R2009a \ toolbox. 2. Matlab toolbox add the file path into the path. Process is: File-&gt Set Path-&gt Add Folder. That is, the C: \ program files \ MATLAB \ R2009a \ toolbox \ folder by adding the path system. 3 Restart Matlab, can be run. 4 Under normal circumstances, there will be the following. Problems after installing genetic toolbox: Warning: Name is nonexistent or not a directory: \ afs \ eos \ info \ ie \ ie589k_info \ Solution: C: \ program files \ MATLAB \ R2009a \ toolbox \ startup folder under the . m file path &quot \ afs \ eos \ info \ ie \ ie589k_info \&quot to the current directory where the goat, &quot C: \ program files \ MATLAB \ R2009a \ toolbox \&quot can be.)

用matlab写的模式识别中C均值分类算法，数据被分成2类，经验证正确(Pattern recognition with matlab written in C-means classification algorithm, the data is divided into two categories, proven correct)

先进PID控制及MATLAB仿真的随书代码，含有多种经典PID控制案例和仿真方案(Advanced PID control and MATLAB simulation with the code book, containing a variety of classic PID control cases and simulation program)

这是一个基于matlab且运用极大似然估计法对伽马分布进行拟合(This is a matlab-based and the use of maximum likelihood estimation method for gamma distribution fitting)