soft-matting

用simulink做的模糊PID控制，里面包括了3个模型，每个模型的fuzzy控制模块都是通用的。(To do with simulink fuzzy PID control, which includes three models, each model of the fuzzy control module are generic.)

人脸识别经典程序，包括模式识别的全部过程(Classical Face Recognition procedures, including the whole process of pattern recognition)

免疫粒子群算法用于PID整定。采用线性惯性系数，自适应交叉变异方法(AI-pso for PID tune.Using a linear inertial coefficient, adaptive crossover and mutation methods)

本演示实现了主动轮廓模型由Kass等人提出。 要运行它的图形用户界面 1。基于MATLAB型引导提示。 2。关于“到现有的图形用户界面，点击” 3。选择在与本文件相同的目录snk.fig文件 4。按一下上方的绿色箭头启动图形界面 一旦GUI已经启动，您可以通过使用蛇 1。点击“新形象”，并加载输入图像。提供的样品图像。 2。平滑参数设置“西格玛”或保留其默认值并点击“过滤器”。这将平滑图像。 3。只要你点击“过滤器”，头发会出现交叉，用他们和你左击鼠标，您可以选择在图像上的初始轮廓的位置。会出现一个红色圆圈到处您单击并在多数情况下，你应该单击对象周围的一切你想要的部分。最后一点，必须挑选使用右键单击，以阻止更多的积分为MATLAB的要求。 4。设置各种蛇参数（在能源方面的相对权重的蛇目标函数）或离开它们的默认值，然后按一下他们“迭代”按钮。蛇会出现和移动，因为它收敛到它的低能量状态。(This demo implements the Active Contour Models as proposed by Kass et al. To run it with GUI 1. Type guide on the matlab prompt. 2. Click on "Go to Existing GUI" 3. Select the snk.fig file in the same directory as this file 4. Click the green arrow at the top to launch the GUI Once the GUI has been launched, you can use snakes by 1. Click on "New Image" and load an input image. Samples image are provided. 2. Set the smoothing parameter "sigma" or leave it at its default value and click "Filter". This will smooth the image. 3. As soon as you click "Filter", cross hairs would appear and using them and left click of you mouse you can pick initial contour location on the image. A red circle would appear everywhere you click and in most cases you should click all the way around the object you want to segment. The last point must be picked using a right-click in order to stop matlab for asking for more points. 4. Set the various snake paramete)

FCM,PCM聚类算法MATLAB程序 遗传FCM算法(FCM, PCM clustering algorithm FCM algorithm Genetic MATLAB program)

说明：  均匀线阵情况下的，相干信号的产生，并不是入射后的信号，而是原始的相干信号，希望各位不会搞错(Uniform linear array case, the coherent signal generation, not the signal after the incident, but the original coherent signals and hope that will not be wrong)

nelder-mead算法,程序不算太长，应该好理解，仔细看几遍就行了(nelder-mead method， it is very useful if you want it,just download it!)

Matlab source for blind classification of EEG data (BCI competition II data set IV)

说明：  很不错的LDPC译码的matlab程序，觉得有用大家分享一下(LDPC decoder)

说明：  这是一个计算镜头视场的软件，非常简单但是很实用。(This is a calculation of the lens field of view of the software, very simple but very practical.)