2015=Doubly-fed-induction-generator-based-wind-tu

During this course you will learn how to use Matlab, to design, and to perform mathematical computations. You will also get acquainted with basic programming. If you learn to use this program well, you will find it very useful in future, since many technical or mathematical problems can be solved using Matlab. (During this course you will learn how to use Matlab, to design, and to perform mathematical computations.You will also get acquainted with basic programming. If you learn to use this program well, you will find itvery useful in future, since many technical or mathematical problems can be solved using Matlab.)

计算电磁学，本程序用边界元方法求解正方形柱体内电位分布(A simple code for boundary element method.)

各种PID控制算法的MATLAB源程序，可以结合相应的指导书学习(various PID control algorithm MATLAB source, combining the corresponding study guide book)

MATLAB GUI 实例教程，简单易学，设计GUI必看(MATLAB GUI examples guides, easy to design GUI watched every game)

matlab下计算脑电信号矩阵平均功率并显示，信号采用列向量形式排列，简短有用(compute the average power of eeg matrix,short and useful)

说明：  对信号进行IQ处理，是获得复信号的一种手段。文件提供IQ同道处理程序(IQ processing of the signal, which is a means to obtain complex signal. File IQ fellow handler)

利用MATLAB GUI做的三维数据自动绘图程序，安装运行库后可自动运行，实现从EXCEL读取数据并自动绘制三维曲面图的功能(Using three-dimensional data in MATLAB GUI to do automatic drawing program, after installation of runtime to run automatically read data from a EXCEL and automatically draw the three-dimensional surface map features)

adaptive mimo code in matlab

说明：  优化计算工具简介，matlab，mathematica，excel的比较(optimization tool, matlab, mathematica, excel comparison)

Otsu-最大类间方差Matlab代码 最大类间方差法原理：最大类间方差法是由日本学者大津于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2 部分。背景和目标之间的类间方差 ％ 大,说明构成图像的2 部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2 部 ％ 分差别变小。(Otsu- Otsu Matlab code Otsu Principle : Otsu law by Japanese scholars in the large-1979's, is an adaptive threshold established methodology, also known as big-law, referred to Otsu. It is based on image characteristics of the gray image can be divided into the background and objectives of Part 2. Background and objectives between the between-class variance%, which meant that the two images form part of the greater difference, When some background into the wrong target or part of the background into the wrong target will lead to sub-2% difference becomes smaller.)