代码搜索：plot
找到约 10,000 项符合「plot」的源代码
代码结果 10,000
www.eeworm.com/read/397758/8024387
m univgui.m
function univgui(arg)
% UNIVGUI Distribution Shapes - Univariate
%
% This GUI function allows one to explore the univariate distributions in
% the data set. These are the distributions of the colu
www.eeworm.com/read/297402/8024731
m ex4_15.m
Z=[]; K=10; P=[-1;-2;-3;-4]; G=zpk(Z,P,K);
G1=tf(G); [R,PP,X]=residue(G1.num{1},[G1.den{1},0])
[y,t]=step(G);
for i=1:5, y=[y, R(i)*exp(PP(i)*t)]; end
plot(t,y)
plot(t,y(:,1),'-',t,sum(y(:,
www.eeworm.com/read/297402/8024762
m ex5_11.m
G=tf(1.5,[1,2,3]); t=0:0.1:2*pi;
u=sin(t); y=lsim(G,u,t); plot(t,u,t,y)
figure
u=sin(2*t); y=lsim(G,u,t); plot(t,u,t,y)
www.eeworm.com/read/297402/8024805
m ex4_21.m
[t,x]= ode45('vdpol_eq',[0,20],[3;2]);
plot(t,x); figure, plot(x(:,1),x(:,2))
www.eeworm.com/read/297402/8024863
m ex4_8.m
G=tf([1,7,24,24],[1,10,35,50,24]);
t=0:.1:10; y=step(G,t); plot(t,y)
Y=dcgain(G)
www.eeworm.com/read/297402/8024888
m ex4_17.m
A=[-21,19,-20; 19,-21,20; 40,-40,-40];
B=[0; 1; 2]; C=[1,0,2]; D=0; G=ss(A,B,C,D);
[y,t,x]=impulse(G);
plot(t,y), figure, plot(t,x)
www.eeworm.com/read/297402/8025087
m p238_2.m
t=0:0.2:15; y2=[];
for i=1:6
Gs=std_tf(3,1,i); y2=[y2,step(Gs,t)];
end
plot(t,y2)
www.eeworm.com/read/297402/8025093
m ex5_25.m
G=tf(1,[1,1]); T=[0.1:0.1:1]; x=[]; y=[];
w=[0,logspace(-3,1,100),logspace(1,2,200)]';
for i=1:length(T)
set(G,'Td',T(i)); [x0,y0]=nyquist(G,w);
x=[x,x0(:)']; y=[y,y0(:)'];
end
plot(x,y),
www.eeworm.com/read/197111/8028697
m examp13_4.m
clc;
clear;
% 产生信号，设置阈值
t = linspace(0,1,100);
y = 0.8*sin(2*pi*t);
subplot(1,3,1),plot(y);
title('原始信号'),grid on;
thr = 0.4;
% 进行硬阈值处理
ythard = wthresh(y,'h',thr);
subplot(1,3,2),plot(yth
www.eeworm.com/read/197108/8029146
m xlinpred.m
% LinPred.m
% Linear prediction.
% 用NEWLIND设()计一个线性网络，用SIM()对此线性网络进行仿真。
% 网络利用过去五个信号值可以对下一个信号进行预测。
%
% Author: HUANG Huajiang
% Copyright 2003 UNILAB Research Center,
% East China U