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The document describes seismic signal processing. Main function is to extract the edge of the seismic signal.

基本粒子群优化算法Matlab源程序，下面是主函数的源程序(Particle Swarm Optimization Algorithm Matlab source code, the following is the main function of the source)

MATLAB 编程有助于初学者进行学习，了解以及相应的运用(MATLAB programming will help beginners to learn, understand, and use of appropriate)

最大似然估计的matlab程序,一个比较常用的数字信号处理程序刚才没传上(Maximum likelihood estimation of the matlab program, a commonly used digital signal processing program did not pass)

说明：  EXPERIMENT CODE FOR ROOT LOCUS TECHNIQUE

这个程序针对的问题是: 17个人为成圈,依次编号为0-16,从第一号开始报数,报到3的倍数的人离开, 一直数下去,直到最后只剩1人,求此人的编号. 程序有点复杂，不过还只能算是初级的水平 (This procedure for the question is: 17 individuals into the circle, followed by numbered 0-16, from the first to begin reported the number of people who report a multiple of three to leave, to keep counting votes until the last only a person seeking this person number. program a bit complicated, but can only be considered the primary level of)

In MATLAB, usually we use function bvp4c() to solve boundary value problem (BVP) of ODE. However, we also can use function ode45() to solve BVP of ODE too. However, ode45() needs all initial values at one point. Therefore we have to construct an auxiliary function, whose input argument is the missing initial value and the return output is the given boundary value, Then we can call function fsolve() to get the missing initial value. This method is particularly efficient it the ODE has one or more parameters. Also this method is essentilal for GNU Octave, because whose function bvp4c() is not programmed for parameter ODE yet.

在阵列信号处理中，一种很经典的信号波达角方向估计方法：MUSIC（多重信号分类）算法。该程序中有三个频率的信号，经过此算法可很好地分辨出这三个信号。(In array signal processing, a classic signal the direction of arrival angle estimation method: MUSIC (multiple signal classification) algorithm. The program has three frequency signals, by using this algorithm,and you can well distinguish these three signals.)

这是一个用于线性分类的支持向量机SVM的MATLAB实现。此代码利用简单的MATLAB内置函数实验了SVM，不依赖LIBSVM等工具箱，并且提供了一个例子，以供初学者一开始对SVM有一个简单了解。(This is a matlab code of support vector machine.Here the SVM is achieved with some common matlab function. It is for SVM beginner. )

L=31的Glod序列生成程序(the sequence generation process Glod)