controllerfuzzy125

PQ分解法求网络潮流，超详细的注解，可以仔细分析此程序，然后学着自己编写(PQ decomposition method the network trend, ultra-detailed annotations can carefully analyze this program, and then learn to write their own)

一个简单地一阶RC电路，观测值得测量，并通过安时积分法得到荷电状态(A simple first-order RC circuit. The observation is worth measuring and the state of charge is obtained by the time integral method.)

用Matlab进行周期指数衰减信号的模拟(Cycle of exponential decay signal simulation using Matlab)

数字信号处理与题解。DSP理论入门电子书，书中有简单的Matlab编程，以及简单的滤波器设计(Digital signal processing and problem solution. Introduction to DSP theory book, the book has a simple Matlab programming, and simple filter design)

基于单周期控制的逆变器，采用MATLAB进行系统建模仿真。(Based on one cycle control inverter, using MATLAB system modeling and simulation.)

计算SQUIRT 模型，弹性波在饱和多孔介质中传播时，一种微观流动机制(used to realize the Squirt flow model)

MATLAB~数字信号处理中分数阶傅里叶变换最优阶的寻找(MATLAB~Fractional Fourier transform in digital signal processing (DSP) to find the optimal order )

复杂网络分析工具包，计算Clustering Coefficient，Assortativity和全局最短路径等参数(Complex network analysis tools package, calculated Clustering Coefficient, Assortativity and global parameters such as shortest path)

说明：  Matlab编程指南，是本人在教学过程中，通过大量的实践，自编的一本讲义，内容通俗易懂，每部分后面添加了很多习题，能够激发学生的兴趣。(Matlab Programming Guide is I in the teaching process, through a lot of practice, the self-a lecture, the contents of user-friendly, each part of the back to add a lot of exercises that can stimulate students interest.)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)