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This is a demonstration of how one can use PCA to classify a 2D data set

应用很广泛的卡尔曼滤波标准matlab程序，简单明了，适合初学者。(A wide range of standard Kalman filter matlab program, plain and simple, suitable for beginners.)

一个非常好的入门滤波程序包，共有六个不同的例程(an excellent particle filtering package including 6 demo)

Euler method finite difference

matlab.蚁群算法，最优路径，在其他网上找到的，感觉可以用(Matlab. ant colony algorithm, optimal path, found in other online, the feeling can be used)

符合计数，用于单光子计数，当多光子到来时，统计时间(counting counting )

气象上使用很多 EOF分析 可以选择模式数 很好用的(Meteorological EOF analysis can choose to use a lot good use of the number of patterns)

改进的维纳滤波在地震资料处理中的应用（地震勘探、信噪比、维纳滤波）(At the Wiener filter to improve seismic data processing application (seismic exploration, signal to noise ratio, Wiener filtering))

matlab环境下的聚类程序，运用最短聚类法聚类，可实现样本的聚类。(clustering procedure in the Matlab environment, using the shortest clustering method clustering, sample clustering.)

这个子程序是为了在第二种情况下对联合部分或者生命部分的估计值而编写的。(This routine is for evaluating union or intersection operation under type2. )