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/494076/6387748
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
www.eeworm.com/read/493734/6389721
m rgls.m
u=mseries(100);
a=length(u);
num=[1 6.5 14 11.5 3];
den=[1 20 120 232 320];
[A,B]=getval(num,den);
num1=[1];
den1=den;
[C,D]=getval(num1,den1);
[nois,e,cf,ce]=rglsm(A,B,C,u);
i=1:a;
figure(1
www.eeworm.com/read/493283/6399797
asv pulsoperiodico.asv
clear
T=8;
A=100;
tao=5;
N=50;
tam=150;
x=zeros(tam);
tiempo=zeros(tam);
t=-5;
for l=1:tam,
for k=-N:N
x(l)=x(l)+((A*tao)/T)*sinc((k*tao)/T)*exp((j*k*2*pi*t)/T);
end
t
www.eeworm.com/read/493283/6399798
m pulsoperiodico.m
clear
T=8;
A=100;
tao=5;
N=50;
tam=150;
x=zeros(tam);
tiempo=zeros(tam);
t=-5;
for l=1:tam,
for k=-N:N
x(l)=x(l)+((A*tao)/T)*sinc((k*tao)/T)*exp((j*k*2*pi*t)/T);
end
t
www.eeworm.com/read/493294/6400016
m dd_ex3.m
% DD_EX3
%
% Show the use of the ksvdd: the support vector data description using
% several different kernels.
%
% To be honest, the SVDD is the most useful using the RBF kernel. In
% most case
www.eeworm.com/read/493017/6404013
m m_exam11.m
% example 11
x=linspace(0,2*pi,30);
y=sin(x);
z=cos(x);
plot(x,y);
hold on
plot (x,z,'m')
hold off
xlabel('Independent variable x');
ylabel('Independent variable y and z');
title('sine and c
www.eeworm.com/read/493017/6404043
m example1_14.m
%-----------------------------------------------------------------
% example1_14
% to test xcorr.m
% 求两个序列的互相关函数，或一个序列的自相关函数；
%-----------------------------------------------------------------
cl
www.eeworm.com/read/493017/6404105
asv example1_14.asv
%-----------------------------------------------------------------
% example1_14
% to test xcorr.m
% 求两个序列的互相关函数，或一个序列的自相关函数；
%-----------------------------------------------------------------
cl
www.eeworm.com/read/493017/6404110
asv m_exam12.asv
% example 12
x=linspace(0,2*pi,30);
y=sin(x);
z=cos(x);
a=2*sin(x).*cos(x);
b=sin(x)./(cons(x)+eps);
subplot(2,2,1)%选取4个子图中的左上
plot(x,y);axis([0 2*pi -1 1]),title('sin(x)');
subplot(2,2,2)%选取4
www.eeworm.com/read/492798/6409193
mht sinecomp.mht
From:
Subject:
Date: Tue, 12 May 2009 09:41:07 -0700
MIME-Version: 1.0
Content-Type: text/html;
charset="Windows-1252"
Content-Transfer-Encoding: quoted-