Matlab

给出了matlab的总共90个实例的源程序(Matlab given a total of 90 examples of the source)

基于matlab平台上实现的遗传算法交叉算子操作，实现的是对自然数编码的两点交叉。代码无错，可以直接运行。(Based on matlab platform to achieve crossover genetic algorithm operations, the realization of the two-point crossover natural number coding. Code is error-free, can be directly run.)

对matlab有详细讲解，知识点全面，特别是例程特别多。相信大家都知道学这个主要就是看程序，别的都是浮云。(Right matlab detailed explanations, a comprehensive knowledge points, especially the routine is particularly high. I believe we all know that learning is to see this major program, other are floating clouds.)

这是用MATLAB写的一个CS算法的列子，希望对大家有用，(This is used to write a MATLAB algorithm CS Liezi hope everyone useful,)

安照标准格式给出数据信息excel文档，可以处理数据并形成可视化模型，包含原始excel文档与m文件(Security is given according to standard format data excel document, can handle data and develop visual models, including the original excel file documents and m)

Quadruple tank benchmark exercise solution version 2

认知无线电频谱分配中采用CSGC并行算法进行(Cognitive radio spectrum allocation algorithms in parallel using CSGC)

pansharpening algorithn (new)

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.)

用matlab实现语音的加噪去噪过程，FFT变换(Implementation using matlab voice add process noise denoising, FFT transform)