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基础资料，我觉得对于初学者相当有用的。它是基于matlab环境开发的，可以在其中找到你具体想要处理的方面！(This is the fundamental material for the initial people who study the image processing. it is baed on Matlab code. People can find the specific knowledge which you want!)

用于图像的边缘检测，提取图像的边缘的matlab gui 程序 。(matlab gui for picture prossce !)

说明：  自己编写的用于消噪的维纳matlab程序，用了递推算法~(their preparation for the denoising Wiener Matlab program, a recursive algorithm ~)

The program purikura.m frames your images into a beautiful frame. Convert your boring looking images into decorated ones using it. Automatically adjusts the bordering i.e. framing according to the image s dimensions. Save the decorated images.(The program purikura.m frames your images into a beautiful frame. Convert your boring loo king images into decorated ones using it. Autom atically adjusts the bordering i.e. framing ac cording to the image's dimensions. Save the deco rated images.)

光伏并网发电双闭环控制模型，利用电容电流与输出电流双环进行控制(this model is about PV connect to the grid using double loop control method)

基于Matlab的object tracking的一个小程序(A small program about object tracking based on the matlab )

卡尔曼滤波 可以对目标进行跟踪，数据处理 滤波(Kalman filter can track the target, data processing filter)

用龙格库塔法求得微分方程的数值解；用龙格库塔法求得微分方程的数值解(Obtained by using Runge-Kutta numerical solution of differential equations obtained by using Runge-Kutta numerical solution of differential equations)

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)

MATLAB实现的LDA算法以及运行结果截图,(MATLAB implementation of the results of LDA algorithm and run shots,)