MATLABzhongdehelpzhiling

说明：  matlab教程，查询一些命令，使用方法，例子，可以用来仿真，实验等(matlab tutorial, query a number of commands, use, examples, can be used to simulate experiments)

matlab从入门到精通，讲解了matlab 的基础知识(matlab from entry to the master，Explained the basics of matlab)

基于PD增益自适应调节的模型参考自适应控制(based on PD Gain adaptive regulation of MRAC)

风车转动，用Matlab制作简单的风车动画(The windmill to rotate)

说明：  PSO和GA的结合，优化结果明显提升，PSO是粒子群优化算法，GA是遗传算法(The combination of PSO and GA improves the optimization results. PSO is a particle swarm optimization algorithm and GA is a genetic algorithm.)

Matlab Signature Recognotion code

最小均方算法lms源程序，算法简单，实用，可准确无误的运行(Minimum mean-square source lms algorithm, the algorithm is simple, practical, accurate operation can be)

使用matlab工具，用三种方法实现镜头边缘的检测。(Use of matlab tools, using three methods to achieve the lens edge detection.)

微电网能量管理系统，能量优化，环境的预测(Micro-grid energy management system, energy optimization, environmental prediction)

fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2)) with parameters: m,s format: result = fit_ML_log_normal( x,hAx ) input: x - vector, samples with log-normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields m,s - fitted parameters CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML