代码搜索:Sampling

找到约 3,969 项符合「Sampling」的源代码

代码结果 3,969
www.eeworm.com/read/168045/9941022

m ica.m

% The time period of the signal considered Tf=0.5; % The sampling time period Ts=1e-5; t=0:Ts:Tf; Num_iter=100000; % The source signals u1=0.1*sin(400*t).*cos(30*t); u2=0.01*sign(sin(500*t+9*cos(4
www.eeworm.com/read/350382/10745632

m 5-11.m

%例程5-11 利用基于AR模型的最大熵法估计功率谱 % e.g.5-11.m for example5-11; % to test function pyulear; clf; clear all; % Generate the signal plus white noise and show N=1024; n=0:1/(N-1):1; %Sampling
www.eeworm.com/read/350382/10745651

m 5-10.m

%例程5-10 利用MTM法估计功率谱 % e.g.5-10.m for example5-10. % to test function pmtm; clear all; % Generate the signal with noise and display N=1024; n=0:1/(N-1):1; %Sampling frequency N-1 f1=0.1;
www.eeworm.com/read/460712/7105390

m chap9_1.m

%Static Lugre friction model identification clear all; close all; ts=0.001; %Sampling time for j=1:1:41 j v=-1+(j-1)*0.05 dr(j)=v; xk=zeros(2,1); u_1=0; for k=1:1:300 t(k)=k*ts; r(k)=
www.eeworm.com/read/460712/7105997

m chap3_13.m

%Discrete RBF control for two-link manipulators clear all; close all; ts=0.001; %Sampling time xk=[0 0 0 0]; tol1_1=0; tol2_1=0; ei=0; node=5; c_D=[-2 -1 0 1 2; -1 -0.5 0 0.5
www.eeworm.com/read/444759/7607311

m 5-11.m

%例程5-11 利用基于AR模型的最大熵法估计功率谱 % e.g.5-11.m for example5-11; % to test function pyulear; clf; clear all; % Generate the signal plus white noise and show N=1024; n=0:1/(N-1):1; %Sampling
www.eeworm.com/read/444759/7607317

m 5-10.m

%例程5-10 利用MTM法估计功率谱 % e.g.5-10.m for example5-10. % to test function pmtm; clear all; % Generate the signal with noise and display N=1024; n=0:1/(N-1):1; %Sampling frequency N-1 f1=0.1;
www.eeworm.com/read/441916/7663175

m main1.m

%Static Lugre friction model identification clear all; close all; ts=0.001; %Sampling time for j=1:1:41 j v=-1+(j-1)*0.05 dr(j)=v; xk=zeros(2,1); u_1=0; for k=1:1:300 t(k)=k*ts; r(k)=
www.eeworm.com/read/439271/7713684

m chap9_1.m

%Static Lugre friction model identification clear all; close all; ts=0.001; %Sampling time for j=1:1:41 j v=-1+(j-1)*0.05 dr(j)=v; xk=zeros(2,1); u_1=0; for k=1:1:300 t(k)=k*ts; r(k)=
www.eeworm.com/read/439271/7713749

m chap3_13.m

%Discrete RBF control for two-link manipulators clear all; close all; ts=0.001; %Sampling time xk=[0 0 0 0]; tol1_1=0; tol2_1=0; ei=0; node=5; c_D=[-2 -1 0 1 2; -1 -0.5 0 0.5