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/400981/11566376
m eventplot.m
function h = eventplot(X)
% h = eventplot(X)
% Method for seismicdecon example supplied with SA Tools.
% See http://www.frostconcepts.com/software for information on SA Tools.
%
% h = eventplot
www.eeworm.com/read/400886/11567302
m dg.m
clear;
clc;
%一一一一一一一一一一一一一参数说明
%光源部分
w0=1550.1; %THz，即中心波长为 154On。
dw=3;%标准高斯函数中的一个参数，单位THz，
dw_3dB=dw*2*log(2);%%光源3dB带宽
dw=dw_3dB/(2*log(2));
Sta_w=w0-10;
End_w=w0+10;
Step_w=0.01;
www.eeworm.com/read/400579/11572546
m testexpdesa.m
%function testPDESA
%测试仿真exp(-t)*sin( 2*pi*50*t)数据的包络
clear
clc
fs=5120;
Ns=2048;
t=[0:Ns-1]/fs;
x=exp(-5*t).*cos(2*pi*20*t).*sin( 2*pi*500*t);%+cos(2*pi*35*t).*sin( 2*pi*300*t);
x2=exp(-5*t)
www.eeworm.com/read/400577/11573011
m plotr.m
%PLOTR Plot regression
%
% PLOTR(W)
% PLOTR(W,CLR)
%
% Plot the regression function W, optionally using plot string CLR.
% This plot string can be anything that is defined in plot.m.
% For the b
www.eeworm.com/read/400576/11573510
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/400576/11573569
asv dd_ex3.asv
% 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/400444/11576551
m plotcorana.m
function [z, a] = coranaEval(per)
i=0;
a=-0.9:per:0.9;
sz=size(a,2);
z=zeros(sz,sz);
for x=a
i=i+1; j=0;
for y=a
j=j+1;
z(i,j)=coranaFeval([x y]);
end
end
%Done!
%First let's look at it
www.eeworm.com/read/400444/11576566
m orderbasedexample.m
echo on
% This script shows how to use the ga using an order-based representation.
% You should see the demos for
% more information as well. gademo1, gademo2, gademo3
global distMatrix
% Setting the
www.eeworm.com/read/400205/11580777
m gbyang.m
t=0: pi/20: 2*pi;
[x, y]=meshgrid(t);
subplot(2,2,1);
plot(sin(t),cos(t));
axis equal;
subplot(2,2,2);
z=sin(x)+cos(y);
plot(t,z);
axis([0 2*pi -2 2]);
subplot(2,2,3);
z=sin(x);
z=sin
www.eeworm.com/read/400096/11583382
m motor.m
function Motor
% Discrete-time extended Kalman filter simulation for twophase
% step motor. Estimate the stator currents, and the rotor position
% and velocity, on the basis of noisy measurements o