carmodel

比较传统单用户检测、线性解相关多用户检测、最小均方误差多用户检测的误码率函数MUD.m(mud.m)

说明：  hurst 指数计算程序 提示：先导入（import）时间序列数据，再进行计算。(hurst Index hints: first import (import) time-series data, and then calculated.)

画正弦和余弦任意幅度，频率，初相位三角函数图gui(Draw any sine and cosine amplitude, frequency, initial phase trigonometric graph gui)

Dilution of precision part 2

HR_SF01_05_流程图 设计资料 PPT版本 对于初学MATLAB的人会有帮助(PPT version of the design information HR_SF01_05_ flowchart MATLAB for beginners who would be helpful)

基于MMSE算法的自适应均衡LMS算法仿真，采用AR模型(MMSE algorithm based on LMS adaptive equalization algorithm simulation, the use of AR model)

1D , 2D, N-D gaussian kernel filter

求线性方程组的迭代法(高斯赛德尔)，基于MATLAB开发(Linear Iterative Method (high Sisaideer))

platEMO是Ye Tian等学者写的一款基于MATLAB的多目标优化工具，为新入门的同学或者开发者提供了很大的便利，其今年已经发布到PlatEMO 2.0版本了。这款工具主要具有以下的几个特点： 1.完全由MATLAB开发，不需要任何其它库。 2.包括现有的90个流行的MOEAs，包括遗传算法、差分进化、粒子群优化、模因算法、分布估计算法和基于代理模型的算法。其中大多数是2010年以后在顶级期刊上发表的代表性算法。 3.用户可以显示各种图形，包括结果的pareto front，真实的pareto front等等。 4.强大友好的GUI，可以不用编辑任何代码。 5.可以直接生成Excel或者LaTex。(PlaEMO is a multi-objective optimization tool based on MATLAB written by Ye Tian and other scholars. It is a great convenience for beginners or developers. It has been released to PlatEMO version 2.0 this year. This tool has the following characteristics: 1. Developed entirely by MATLAB without any other libraries. 2. Including 90 popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, meme algorithm, distribution estimation algorithm and proxy model-based algorithm. Most of them are representative algorithms published in top journals after 2010. 3. Users can display various graphics, including Pareto front, real Pareto front and so on. 4. Powerful and friendly GUI, you can edit no code. 5. Excel or LaTex can be generated directly.)

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