synchr-impulsive

illustration on OFDM

LMS算法的仿真，希望对大家有用，自适应滤波，可用于通信系统中(LMS algorithm for the simulation, in the hope that useful to everyone, adaptive filtering, can be used in communication systems)

MATLAB CODE NECESSARY FOR PEOPLE DOING MASTER IN CELESTIAL NAVIGATION

车牌识别 程序用MATLAB进行仿真的。实现了车牌的简单定位和字符识别功能(The license plate recognition)

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))

sir/mam, i have added some matlab source codes,in turn provide some required matlab source codes

以最小均方算法为约束条件的自适应波束形成(Adaptive beamforming with the minimum mean square algorithm as the constraint)

Adaptive Nonlinear Control of Multiphase Synchronous Buck Power Converters

用前推回代法编写了一个算8节点配网潮流的程序，解压后就可以直接运行(With forward and backward substitution method to write an 8-node distribution network power flow calculation program, named after the needs of the non-alphanumeric characters removed after decompression, it can be run directly)

函数实现将rgb颜色空间转化为HSI颜色空间，里面有许多语句很经典，值得一看(the function of the program is to change RGB color space into HSI color space.)