distilldata

一个函数的编写，实现四阶龙格-库塔方法解高阶微分方程组的初值问题 (Write a function to achieve fourth-order Runge- Kutta method for solving the initial value problem of higher order differential equations)

1) Alamouti STBC Matlab codes

说明：  用改进的模拟退火算法解决tsp问题，应用matlab环境进行编译。(SA )

this code is a particle filter code in 2 Dimension and integrated to extended kalman filter.

通过锁相环的方法实现2fsk的传输系统的设计，，这是仿真图。。仅供参考(Achieved through the PLL 2fsk designed transmission system, which is the simulation of Fig. . For reference only.)

ALO优化算法，非常适合优化GM.相对于PSO优化算法的有点在于，能够定义优化参数的上下界。(ALO is used for optimize the model)

正弦信号的谱分析及提取 是一个课程设计的题目 程序能够运行 (Sinusoidal signal spectral analysis and extraction is the subject of a course design programs to run)

Matlab Coce for PCA 1

l1_ls: A Matlab solver for l1-regularized least squares problems.

说明：  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.)