rand

基于matlab环境下fisher分布算法的实现，利用矩向量法得到的(Matlab environment based on fisher distribution algorithm, obtained by using moment vector)

本书全名《精通MATLAB-综合辅导与指南》，是西安交通大学李人厚、张平安与1997年译校后出版的，文章对MATLAB基本使用方法进行了介绍，并通过举例的方法使内容浅显易懂(The full name of the book " Mastering MATLAB-comprehensive counseling and guidance," Li Xi' an Jiaotong University is one thick, Ping-An Zhang translation school in 1997 after the publication of the article on the basics of using MATLAB are described, and examples of the way through the contents of plain and easy to make understand)

基于matlab编写的图像滤波程序，包括均值滤波和中值滤波，并给出了处理后的图像(Image matlab image-based filtering process, including mean filter and median filter, and gives the treatment)

用matlab处理音频, 对一段音频加入噪声然后滤除噪声还原, 绘制过程中的频谱图(Matlab deal with audio, for adding some audio noise reduction and filter noise, rendering the process of spectrum)

单相有源电力滤波器仿真系统框图，电能质量的谐波补偿(APF MATLAB )

matlab 的入门经典教材，外文翻译，适合初学者(matlab introductory textbook classic, foreign language translation, suitable for beginners)

gui小程序 ，自己编的小程序，先联系一下，写得不好，见笑了！(gui applet, own a small procedure, you first contact, not well written, has been a laughing stock!)

说明：  粒子群优化算法 相信有不少人知道粒子群优化吧。算法简单而且寻优的速度快。我用matlab写了PSO的实现程序，相信对对这方面感兴趣的兄弟有用。为了比较直观的演示PSO的算法，用了2维的。 (PSO algorithm believe a lot of people know it PSO. A simple algorithm optimization and faster. I used Matlab was the PSO procedures, I believe this area of interest to the brothers useful. In order to compare the visual presentation of the PSO algorithm, with a two-dimensional.)

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.)

函数功能：本函数将完成对输入图像的峰值信噪比计算(Function: This function will be completed on the input image of the peak signal to noise ratio calculation)