kalman

PCA的步骤： 1 先将数据中心化； 2 求得的协方差矩阵； 3 求出协方差矩阵的特征值与特征向量； 4 将特征值与特征向量进行排序； 5 根据要降维的维数d’,求得要降维的投影方向； 6 求出降维后的数据； (PCA steps: 1 of the first data center 2 covariance matrix obtained 3 obtained covariance matrix eigenvalues and eigenvectors 4 eigenvalues and eigenvectors will be sorted 5 according to the dimension of dimension reduction d ' , seek to reduce the dimension projection direction 6, the data obtained after the dimensionality reduction )

A program to compare different method of edge detection

车牌识别，MATLAB源程序，实验过了可以使用。放心下载。(License Plate Recognition)

Time vector for the downlink data s where the power vector is a finite state space model.

卡尔曼滤波下的的ARMA、MA、AR模型，比较全面，特别适合初学者入门(Kalman filtering under the ARMA, MA, AR model, a more comprehensive, especially for beginners)

耦合矩阵的提取以及s参数的画出,fangbian zklsdgaklfeg/ /rg keg/ lerg (copingling filter and s)

This short demo presents an efficient algorithm for edge detection

VERY IMPORTANT MATLAB BROGRAM FOR FRFT

一种在线聚类程序，能够实现数据的在线聚类，对于实时监控系统很有用(An online clustering procedures, can achieve data online clustering for real-time monitoring system is useful)

Matlab Wireless Communications 应用例程(Routine application of Matlab Wireless Communications)