MATLAB2013-teaching-material

UPFC STATCOM SIMULINK MATLAB

matlab BPSK 调制与解调,BPSK 调制与解调(matlab BPSK modulation and demodulation, BPSK modulation and demodulation)

An Improved Smoothed

说明：  求网络流中的最小费用最大流的matlab代码(Matlab Code for Minimum Cost Maximum Flow in Network Flow)

说明：  MATLAB的中文帮助文档，让那些不愿意看英文的朋友们，简单明了的学习MATLAB(MATLAB help documentation in Chinese, English, for those who do not want to see friends, to learn simple MATLAB)

EM分割算法的matlab实现。得到的结果较好。(EM segmentation algorithm to achieve the Matlab. The results are good.)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

一个语音识别的程序，用matlab进行训练、识别。(A speech recognition procedure, using matlab for training, identification.)

boiler model in simulink for control theory

关于四旋翼飞行器的控制仿真，串级PID算法。有相关文献。(Control simulation of four rotor aircraft, cascade PID algorithm. There are relevant documents.)