spectral_clustering

matlab数学手册，相关的matlab 知识以及函数介绍等应有尽有。(matlab mathematics manual matlab-related knowledge and the function of presentations, etc. everything.)

几个Matlab程序，可以自动生成JPG图像的缩略图，并生成一些HTML代码，可以直接应用到网页上面。(Several Matlab program can automatically generate thumbnails of JPG images, and generate some HTML code, can be applied directly to the page above.)

this is one of the best satelite code in the world to find the look angle

基于matlab的抗积分饱和PID控制源程序(Anti-windup PID control)

包含单缝衍射，光栅衍射，等倾干涉，等厚干涉，杨氏双缝干涉，菲涅耳衍射等基础函数(Contains a single-slit diffraction, diffraction grating, equal inclination interference, equal thickness interference, Young' s double slit interference, Fresnel diffraction and other basic functions)

matlab的libsvm工具箱，直接在matlab里作为函数调用(the libsvm toolbox matlab directly in matlab as a function call)

matlab的weno源程序，包括burges方程求解的高斯迭代程序和用weno格式求解burgers方程，还有精度比较(The weno matlab source, including burges Gauss equation and iterative procedures for solving equations burgers, as well as the accuracy of comparative format with weno)

输入不大于5位的整数，判断位数，并且正序和逆序输出(Enter an integer not more than 5 to determine the median, and the positive sequence and the reverse output)

说明：  程序代码说明 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(Procedure Code Description P0201: MATLAB assignment P0202: MATLAB in the for loop P0203: MATLAB in the for loop and if condition P0205: MATLAB image processing basics P0206: MATLAB high-level image processing operations P0207: RGB image created according to a gray image P0208: binary image of the check against action P0209: use the imshow function to display images P0210: in the same window display two images)

自己编写的基于多特征目标跟踪的算法，能实现实时跟踪(I have written based on multi-feature target tracking algorithm, to achieve real-time tracking)