random

高频系数融合均采用基于像素点绝对值取大的规则，这里要注意的是，比较的对象是两幅原始图像的像素点的绝对值，而融合后图像的像素点的取值是两幅原始图像像素点绝对值大的那一点的值，也就是说，要取绝对值大的那个点的实际值

说明：  采用FDTD计算2维光子晶体的散射和透射的可执行程序小软件，修改输入文件可用于光子晶体的建模和计算，比较好用(FDTD calculation using two-dimensional photonic crystal scattering and transmission of the executable program small piece of software, modify the input file can be used for modeling and calculation of photonic crystals, compare easy to use)

改进的EEMD程序，可弥补加噪去除不干净的问题(Improved EEMD procedures, can make up for the noise removal is not clean problem)

作为无人飞行器设计的matlab文件，可以提供各种飞机设计程序(As unmanned spacecraft design matlab documents, we can provide all the plane design program )

fitting magnetization curve

说明：  傅里叶级数展开，傅里叶级数展开，傅里叶级数展开，(The Fourier series expansion )

code for contrast stretching

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

很好的matlab基础入门教学ppt(中科院)(a very good book for matlab study)

用matlab画出所需要的图形，并且用所画的图形互相进行腐蚀和膨胀操作(Using matlab to draw the required graphics, painting and graphics with each other by corrosion and expansion of operations carried out)