toolbox_signal

电压暂降正周期有效值,是四案例工程中比较常见的算法。(t=0:0.0002:0.2 y=cos(100*pi*t) y1=0.5*cos(100*pi*t) y(200:600)=y1(200:600) for i=1:1:901 u(i)=sqrt(sum(y(i:i+99).^2)/100) end plot(u) xlable( 采样点数 ) ylable( u ) )

HVDC MMC PSCADE EMTDC

采用simulink和stateflow对ABS模型中的连续控制和离散控制进行仿真(Using simulink and Stateflow model of the ABS control and discrete control of continuous simulation)

说明：  用于计算2D梁板壳的IGA程序,适用于IGA初学者(The MATLAB code for 2D modeling of beam, plane and membrane.)

物理层的空时编码的MATLAB仿真程序，包含发射端、信道到接收端的所有源代码(space-time coding project)

说明：  经典的基于MMSE的语音增强matlab代码(Based on the classic MMSE Speech Enhancement matlab code)

A SIMPLE BUT USFUL 2D FDTD MATLAB CODE3(USFUL 2D FDTD MATLAB CODE3)

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))

Maximum Likelihood estimation for lognormal pdf

提供数字信号处理涉及到的所有内容，并提供相应源程序，注解详尽，非常不错！(provide digital signal processing related to all content and the corresponding source code, a detailed explanation, very good!)