matlab-GA

Auction jacobi solver for MAtlab. Based on a paper

ofdm发送端和接收端，根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。(ofdm sending end and receiving end, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives.)

用matlab仿真的离散信号的频域实验分析(Experimental analysis of the frequency domain of the discrete signal simulation using matlab)

概率论与数理统计的matlab程序，对于解决概率论的问题很有帮助(Probability Theory and Mathematical Statistics matlab program for solving the problem of probability theory is helpful)

说明：  关于通信系统仿真原理及无线应用原书的所有程序，可以省去你在敲程序的时间(Simulation of communication systems and wireless applications, the original principle of the book all the procedures, can save you time in the knock process)

一台三相感应电动机，参数分别为：230V，60Hz，12kW，4极绕线式转子， 定子有效电阻R1=0.095，定子漏电抗利用Matlab软件绘制电机的机械转矩Tmech作以r/min为单位的转子转速的函数时的变化曲线(A three-phase induction motor, the parameters are: 230V, 60Hz, 12kW, 4 pole wound rotor, Drawn using Matlab software for the motor to the mechanical torque Tmech r/min as a function of the unit when the rotor speed curve )

Fit time series Q(t) to a logistic function. Inputs (vectors of same size): t (time) & Q Outputs: Qpre (logistic model fit to data) and three independent parameters: thalf, Qinf, and a, describing the logistic Q(t) = Qinf/(1 + exp(-a*(t-thalf))) Qinf is value as t --> infinity thalf is time of symmetric inflection point a is time decay constant Written by James Conder, Southern Illinois University, Oct. 2010

说明：  更新部分 1、自适应算法采用参考文献[2]的NLMS算法，收敛速度更快，所需训练次数更少。 2、自适应收敛步长在(0,2)之间存在较优取值，Lorenz序列为0.6。(update an adaptive algorithm reference [2] NLMS algorithm, convergence faster, less the number of required training. 2, adaptive step in the convergence of (0,2) between the optimum value, Lorenz sequence of 0.6.)

以减小网损为目标的配电网重构问题求解，利用二进制粒子群优化算法(To solve the problem of distribution network reconfiguration with reduced network loss, binary particle swarm optimization algorithm is used.)

说明：  信号稀疏度K与重构成功概率关系曲线绘制例程代码(K signal sparsity and Reconstruction success probability plots draw sample code)