lorenz

说明：  （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 ((1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.)

说明：  用于特征降维，特征融合，相关分析等多元数据分析的广义典型相关分析（GCCA）Matlab代码实现。(For feature reduction, feature fusion, correlation analysis, multivariate data analysis using generalized canonical correlation analysis (GCCA) Matlab code implementation.)

code for edge detection

说明：  以整数线性规划方法解决火电机组机组组合问题。包括爬坡、启停约束等。以最小化运行成本为目标。(Integer linear programming (ILP) is used to solve the unit commitment problem of thermal power units. Including climbing, start-stop constraints and so on. The objective is to minimize operating costs.)

Face recognition using webcam and this data.if the person exist means its gives the serial data out..this face regonition totally used by automatically

MATLAB符号积分变换经典教程MATLAB Tutorial classic symbol integral transformation(MATLAB symbolic integral transform classical tutorial MATLAB Tutorial classic symbol integral transformation)

calculate moy of the signal

InSAR里面的goldstein相位解缠绕的MATLAB源代码，绝对能够运行(InSAR which the goldstein flow phase unwrapping method for MATLAB source code is absolutely able to run.)

matlab打开txt文件和excel文件，读取其中的数据(matlab open the txt files and excel files, read the data)

该特征提取算法是从超声图像感兴趣区域提取的纹理特征，基于小波变换的。(this features was abstacted from the ultrsound images which is based on the DWT.)