Three-TwoGS

直接下载即可。关于数字水印的matlab里程(can be downloaded directly. Digital watermarking on the Matlab mileage)

基本粒子群算法的一些英文资料，在此基础上衍生出了许多优化粒子群算法(Particle Swarm some English information derived on this basis, a number of particle swarm optimization)

matlab入门教程加实际分析，数据矩阵 适合MATLAB初学者结合实例学习(matlab course with example for beginner)

Mathematical formula

matlab anisodiff各向异性滤波算法(matlab anisodiff anisotropic filtering algorithm)

三容水箱模糊控制实验程序，智能控制程序，非常有用的，经过仿真调试好了的(Experimental three-tank fuzzy control procedures, intelligent control procedures, very useful, good debugging through simulation)

设计一个简单的GUI界面，对导入的音频文件进行时域特性分析。计算其时域波形、平均幅度、短时能量、短时过零率。对该音频文件进行加噪处理，分析其时域波形变化。设定一个固定时长，对该音频添加回声并保存为“*.wav”格式文件。 对音频文件的时域分析是对音频文件进行传输、降噪及其他再编辑的基础。其中短时能量可用作清浊音区分的标准和语音起始点的判断。短时过零率可用作判断有声段与无声段和从背景噪声中提取语音信号。 (Design a simple GUI interface that time domain characteristics analysis on import audio files.Calculate the average time domain waveform, amplitude, short-time energy and short-time zero crossing ratio.Add to deal with the noise of the audio files, analyze the changes in the time domain waveform.To set a fixed time, to add the audio echo and saved as a *. Wav format file. The time domain analysis of the audio file was transmitted to audio files, noise reduction and other editor again.The short-time energy voiced distinguish between standard and can be used as a clear voice starting point judgement.Short-time zero crossing ratio can be used as a judgment audio segment and silent segment and extract speech signal background noise.)

this is source code in matlab, simulate about mc-cdma over rayleigh channel

用于船舶控制系统误差分析与设计的计算程序(Ship control system for error analysis and design of the computer program)

说明：  遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)