PID_Controller

说明：  LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件还有一个特点，就是对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数就可以解决很多问题；并且提供了交互检验(Cross Validation)的功能。(LIBSVM Taiwan University, Lin Zhiren (Lin Chih-Jen) and associate development and design of a simple, easy to use and fast and efficient SVM pattern recognition and regression of the package, he can not only provide a compiled implementation of the system in the Windows family of documents , also provides the source code to facilitate the improvement, modification and other operating systems applications the software has a feature that the parameters of the SVM involves relatively small adjustment to provide a lot of default parameters, use the default parameters on can solve many problems and to provide a cross-validation (Cross Validation) feature.)

短期负荷预测通常是指24小时的日负荷预测和168小时的周负荷预测，本文主要预测的是日平均负荷，对于短期负荷预测(short-term load forecasts usually refers to the 24-hour daily load forecasting and 168 hours a week load forecasting, In this paper, the forecast is the average load, short-term load forecasting)

A COMPARISON OF STBC AND SFBC

《matlab通信工程仿真》源码，张德丰主编，机械工业出版社。里面的readme文件介绍了本书的目录和版本。(" Matlab Communication Engineering Simulation" source, Zhang Defeng editor, Machinery Industry Press. Inside the readme file describes the directory and the version of the book.)

基于matlab软件下的密集波分复用，小球运动模拟等(DWDM, the ball movement simulation)

设计滤波器的各种窗函数的源代码，非常有用，和大家分享，快来下载学习哦！！(A variety of window functions designed to filter the source code, very useful to share, come to learn oh download！！)

matlab下的bwmorph程序,希望能给大家带来帮助.(Matlab under bwmorph procedures in the hope that we can bring to help.)

matlab利用小波分解和混沌加密结合的图像加密算法程序代码(matlab program code encryption algorithm using image wavelet decomposition and chaotic encryption combined)

这个只是一个计算马尔科夫系统传递熵的matlab，函数希望大家能把他用到高维中，并分享(This is just a calculation of Markov system transfer entropy MATLAB, function, I hope we can use it to high dimension, and share)

using Monte Carlo integeration calculate Q function