matlab_plot_gps_satellites

说明：  用matlab实现拟合的几个例子源码， ％x,y应是原始数据，下面的数据仅是为了说明问题而自设的示例数据。(Matlab fitting used to achieve a few examples of source code, x, y should be the raw data, the following data only to illustrate the problem of sample-based data.)

MATLAB6.5的基础性教程，里面内容很全，非常适合新手使用(MATLAB6.5 basic tutorial, which are very informative, very suitable for new users)

park transformation using simulink blocks

已知一组三维坐标进行三维曲线拟合，可以直接使用！！(Given a set of three-dimensional coordinates of the three-dimensional curve fitting, can be used directly! !)

说明：  matlab 常用命令 matlab 常用命令(frequently used commands commonly used commands matlab matlab)

此段程序可以将seg2数据转换为TSPwin处理的数据。(This section of the program can be converted into data TSPwin seg2 data processing.)

迁移朴素贝叶斯分类器算法实现，可用于高光谱遥感图像处理(Migration naive Bayes classifier algorithm can be used for hyperspectral remote sensing image processing)

图像处理MATLAB程序（教学使用）-图像灰度级修正（直方图均衡化）(MATLAB image processing program (Teaching)- image gray level correction (histogram equalization))

PSO algorithm written in MATLAB

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.)