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/303558/13812683
m ip_03_09.m
% MATLAB script for Illustrative Problem 3.9.
% Demonstration script for envelope detection. The message signal
% is +1 for 0 < t < t0/3, -2 for t0/3 < t < 2t0/3, and zero otherwise.
clear
echo on
www.eeworm.com/read/303512/13813903
m smithcir.m
% smithcir.m - add stability and constant gain circles on Smith chart
%
% Usage: smithcir(c,r,maxG,width)
% smithcir(c,r,maxG) (equivalent to width=1)
% smithcir(c,r)
www.eeworm.com/read/303498/13814348
m e0602.m
x=1:pi/100:4;
y=2*exp(-0.5*x).*log(2*pi*x);%y的结果为数组乘运算
plot(x,y)
www.eeworm.com/read/303498/13814357
m e0622.m
x = [ 1 2 3 4 5 6];y = [ 2 6 8 7 8 5];stairs(x,y);
title('Example of a Stair Plot');xlabel('x');ylabel('y');axis([0 7 0 10]);
www.eeworm.com/read/303498/13814363
m e0612.m
x = 0:0.1:10;y = x.^2 - 10.*x + 26;
figure(1)
subplot(2,2,1) ; plot(x,y); %绘制直角坐标系图形
title ('Linear Plot');xlabel ('x');ylabel ('y');grid on;
subplot(2,2,2); semilogx(x,y); %绘制x轴用以10为底的对数刻度标定的半对数
www.eeworm.com/read/303498/13814403
m e0604.m
figure
x=0:pi/100:2*pi; y=2*sin(2*x)+3*sin(3*x)*i;
subplot(1,2,1),plot(x,y)%绘制复数矩阵的实部部分
title('This is figure of the real part .'); %给图形加上标题
xlabel('x'); %给x轴加标注
ylabel('real(y)'); %给y轴加标注
subpl
www.eeworm.com/read/303438/13816094
m holder.m
function h=holder(tfr,f,n1,n2,t,pl)
%HOLDER Estimate the Holder exponent through an affine TFR.
% H=HOLDER(TFR,F,N1,N2,T) estimates the Holder exponent of a
% function through an affine time-frequenc
www.eeworm.com/read/303147/13821006
m cplot.m
function cplot(varargin);
% plots multiple graphs
%
%
hold off
col='bgrcmk';
switch varargin{1}
case 'split'
subplot(nargin-1,1,1)
for i=2:nargin
subplot(nargin-1,1,i-1)
plot(varargin{i})
www.eeworm.com/read/302999/13823953
m 1.误差和误差平方曲线.m
S=sqrt(0.05)*randn(1000,1); %产生一个白噪声序列S(n)
H=[3; -4]; %初始滤波器系数H(0)
T=[0 0];
T2=[0 0];
e=0;
e2=0;
for n=0:1:300 %LMS迭代
y=sin(pi/8*(n+1)+pi/10)+S(n+
www.eeworm.com/read/302994/13823974
m 3.迭代轨迹曲线.m
[h0,h1]=meshgrid([-4:0.2:4]); %确定滤波器系数H(n)的范围
J=0.55+h0.^2+h1.^2+2*h0.*h1*cos(pi/8)-sqrt(2)*h0*cos(pi/10)-sqrt(2)*h1*cos(pi/40*9);
%计算各组系数下的误差性能J(H)
axis([-4,4,-4,4])