很长的一个例子，说实话，我也看不懂。。这个是同学写的。...

模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。 (Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)

基于MATLAB的声音滤波及加噪文件的处理实验结果源代码(song wave document or with noise filter with matlab and other tread)

Genetic Algorithm for Function Optimization

说明：  高斯多峰拟合，matlab语言编写的光谱高斯多峰拟合曲线(Gaussian multimodal fitting)

在信号DOA估计中，通常涉及到信源信号路径的交叉，或是信号的角度分辨率分辨不高，在这种情况下，基于压缩感知的DOA估计怎么处理呢？对于信源信号的重定位和预处理，增强信噪比等处理。

# Isolation Forest (iForest) iForest anomaly detection codes (Matlab Version R2016a) Revised by Ye Zhu, Monash University, April 2017, version 1.0. Basic functions are originally written by Guang-Tong Zhou. This software is under GNU General Public License version 3.0 (GPLv3) Reference: Liu, F. T., Ting, K. M., & Zhou, Z. H. (2012). Isolation-based anomaly detection. ACM Transactions on Knowledge Discovery from Data (TKDD), 6(1), 3.

计算水声传播的射线追踪法程序, 适合高频近似下的声场计算。(underwater acoustic field computing RayTracing program, adapt to high frequency sound field computing.)

就是简单的闪灯显示，属于基础的，适合初学者(Is a simple flash display, is based, suitable for beginners)

选择一副灰度图像，用区域分裂合并法对其进行分割(Choose a grayscale image, with its regional divisions split merge method)

Starting and speep control of DC machins with dc to dc rectifire (PWM)