kohonen

particle filter toolbox for matlab

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

通过多次迭代消除子载波间干扰，降低误码率(Using iteration approach to suppress intercarrier interference in OFDM system)

多个小球碰撞，有背景颜色，支持更换小球个数，有一些注解(Multiple small ball collision, the background color, support the replacement of the ball number, there are some comments)

MATLAB 实现对图片的傅立叶描述子.边缘检测的结果进行二维到一维的变换(MATLAB implementation of the image Fourier descriptors. Edge detection results of two-dimensional to one-dimensional transform)

利用MATLAB程序编写的界面程序,GUI程序(Using MATLAB programming interface procedures, GUI program)

点目标成像程序，对于SAR成像初学者非常有用。包含多点目标成像（用RD算法），包含距离徙动矫正.(Point target imaging procedures, very useful for beginners SAR imaging. Include multi-point target imaging (with RD algorithm), including range migration correction.)

speed control of induction motor

评价算法。神经网络一个很好的应用。。。。。大家可以看看！(Evaluation algorithm. Neural network a very good application. . . . . Everyone can see!)

说明：  电力系统潮流计算，基于内点法的最优潮流计算(Power flow calculation of power system)