Advanced-PID-control

说明：  MIMO2发2收,采用波束成形技术的BER计算,采用的是BPSK调制,并和发射端未使用beamforming进行了比较(Script for computing the BER for BPSK modulation in a Rayleigh fading channel with and without transmit beamforming)

说明：  使用matlabR2008a编写的多元逐步回归模型 经过调试(Prepared using matlabR2008a After debugging multiple regression model)

我设计的遗传算法代码，希望大家能够喜欢，谢谢啊(I design the genetic algorithm code, we want to like, thank ah)

几篇关于压缩感知的文章，信号为语音信号，对初学者有帮助。(failed to translate)

matlab 并行程序parfor用法matlab 并行程序parfor用法(matlab 并行程序parfor具体用matlab 并行程序parfor用法)

实现了蚁群算法求解TSP问题。注释详细 function[R_best,L_best,L_ave,Shortest_Route,Shortest_Length]=ACATSP(C,NC_max,m,Alpha,Beta,Rho,Q) ------------------------------------------------------------------------- 主要符号说明 C n个城市的坐标，n×2的矩阵 NC_max最大迭代次数 m蚂蚁个数 Alpha表征信息素重要程度的参数 Beta表征启发式因子重要程度的参数 Rho信息素蒸发系数 Q信息素增加强度系数 R_best各代最佳路线 L_best各代最佳路线的长度 ========================================================================= (Ant Colony Algorithm for the realization of the TSP problem. Notes the detailed function [R_best, L_best, L_ave, Shortest_Route, Shortest_Length] = ACATSP (C, NC_max, m, Alpha, Beta, Rho, Q) ------------------------------------------------------------------- The main symbol------ C n that cities coordinates, n × 2 matrix NC_max the largest number of iterations m the number of Alpha ant pheromones characterized the importance of the parameters Beta factor heuristic importance of characterization of the parameters Rho evaporation coefficient of pheromone pheromone Q increase in intensity coefficient R_best best route generations generations L_best the length of the best route ====== ================================================== =================)

绘制科赫曲线，通过修改内部参数绘制不同迭代次数的曲线(Drawing Koch curve, by modifying the internal parameters of the curve plotted different iterations)

E=input( enter the generator voltage: ) V=input( enter the infinite bus voltage: ) Gx=input( enter the reactance of generator: ) L1x=input( enter the line reactance: ) L2x=input( enter the line reactance: ) L3x=input( enter the line reactance: ) L4x=input( enter the line reactance: ) Pi=input( enter the input power: ) X1=Gx+L1x+((L2x*L3x)/(L2x+L3x))+L4x Pm1=E*V/X1 DO=asin(Pi/Pm1) A=((L2x*L3x)/(2*(L2x+L3x))) C=A B=((L3x/2)^2)/(L2x+L3x) X2=(Gx+L1x+A)+(L4x+A)+(Gx+L1x+A)*(A+L4x)/B Pm2=(E*V)/X2 X3=Gx+L1x+L2x+L4x Pm3=(E*V)/X3 DC=input( enter the fault clearing angle: ) Dm=(3.14-asin(Pi/Pm3)) a1=quad( sin ,DO,DC) A1=(Pi*(DC-DO)-Pm2*a1) a2=quad( sin ,DC,Dm) A2=Pm3*a2-Pi*(Dm-DC) if(A2>=A1) disp( the system is stable ) else disp( the system is unstable ) end Dcc=acos((Pi*(Dm-DO)-Pm2*(cos(DO))+Pm3*(cos(Dm)))/(Pm3-Pm2)) disp( critical clearing angle: ) Dcc

it is the matlab code of particle swarm optimization with a test function that can be change..

该压缩文件是一些经典图论算法的集合，主要适用matlab开发，种类齐全，方便大家的学习。(The compressed files are a collection of classical graph algorithms, mainly for matlab development, a broad range, we facilitate learning.)