jakes_model

matlab时频分析工具包，挺好用的 ，用于信号时频处理 (matlab time-freq analysis toolbox)

matlab 函数检索表 matlab 函数大全(matlab function)

这是一个三水源新安江模型，主要用于湿润半湿润地区流域水文预报，适合从事水文、水资源方面的朋友使用。(Xin
anjiang model hydrology model di gital watershed hydrological forecasting hydrological calculation)

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)

说明：  森林火灾蔓延Matlab仿真编程，对比了增加隔离带和无隔离带火灾蔓延的趋势(MATLAB Simulation Programming of Forest Fire Spread)

PSO BASED CLASSIFICATION PATTERN

说明：  AM调制及单边带调制 程序规范易懂,It will be helpful to you!(AM modulated single-sideband modulation procedures and norms understandable, It will be helpful to you!)

不错的检测椭圆程序 只需要改一些参数即可运行(Good testing procedures only need to change some of the ellipse parameters to run)

本文根据对原始纯净图像进行的椒盐加噪处理，提出了利用中值滤波法消除图像噪声的实用方法。使用软件工具MATLAB快速地实现了图像的中值滤波。(According to the original purity of the salt and pepper plus noise image processing, proposed by using median filter to reduce image noise and practical method. MATLAB software tools used to achieve fast median filtering of images.)

fit_mix_gaussian - fit parameters for a mixed-gaussian distribution using EM algorithm format: [u,sig,t,iter] = fit_mix_gaussian( X,M ) input: X - input samples, Nx1 vector M - number of gaussians which are assumed to compose the distribution output: u - fitted mean for each gaussian sig - fitted standard deviation for each gaussian t - probability of each gaussian in the complete distribution iter- number of iterations done by the function