功能基于粒子群优化的极值

说明：  Matlab简单教程，能学习一些最基本的操作(Matlab simple tutorial to learn some basic operations)

simulate capacity for mimo system

这种邻域插值的matlab源代码,学生需要可以下载使用(This neighborhood interpolation of matlab source code, students can download to use )

Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian domains. It amounts to an incremental method for dynamic programming which imposes limited computational demands. It works by successively improving its evaluations of the quality of particular actions at particular states. This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins (1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed each iteration, rather than just one.

光伏并网系统 三大服务而非我基于PI控制的电流内环控制 (PV grid system three services rather than my inner current loop control based on PI control)

The horse moves on a chessboard so that the whole house of sacrifice and not refuse any house twice. be fun.

基于样本的纹理合成，采取点替换的方法，可以合成brodatz类的纹理。采取的方法是先对图像分析，然后合成。(Texture synthesis based on samples taken at the replacement of the method of texture synthesis brodatz category. Approach taken is to firstly image analysis, and then synthesis.)

OFDM.simulation.by.matlabNguon tiensitranxuannamhocvienkythuatquansu

说明：  介绍一些MATLAB中常用的函数，非常适合初学者参考，希望能够对各位有用哈(Introduce some commonly used MATLAB function reference is ideal for beginners, you want to be useful against Kazakhstan)

采用小波变换的方法实现心电信号的滤波，分别使用了硬阈值、软阈值和改进阈值方法，并实现了滤波效果的评价（均方差和信噪比）(Wavelet transform of ECG signal filtering method, respectively, using a hard threshold and soft threshold and improve the threshold method, and to achieve the filtering effect of the evaluation (both variance and signal to noise ratio))