代码搜索：plot
找到约 10,000 项符合「plot」的源代码
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www.eeworm.com/read/263248/11370093
m call_dlp2bs.m
% 《数字信号处理教程——MATLAB释义与实现》第四章演示程序
% 电子工业出版社出版 陈怀琛编著 2004年8月
% 数字滤波器频带变换演示
% call_dlp2bs.m 数字低通滤波器到数字带阻滤波器
%
function []=call_dlp2bs(h1,h2)
axes(h1);hold off
plot([0,0],[-1.2,1.2],'linestyle'
www.eeworm.com/read/263248/11370098
m call_dlp2bp.m
% 《数字信号处理教程——MATLAB释义与实现》第四章演示程序
% 电子工业出版社出版 陈怀琛编著 2004年9月
% 数字滤波器频带变换演示
% call_dlp2bp.m 数字低通滤波器到数字带通滤波器
%
function []=call_dlp2bp(h1,h2)
axes(h1);hold off;
plot([0,0],[-1.2,1.2],'linestyle
www.eeworm.com/read/408557/11382844
m sc.m
start=[1 0 0 1 0 1 0 0 0 0 0 1];
p=seq(start);
n=numel(start);
N=2^n-1;
n=0:1:(N-1);
bpskseq=bpsk(p);
figure(1); plot(n,bpskseq);
for t=1:256
sd(t)=bpskseq(t);
end
figure(1); s
www.eeworm.com/read/262946/11383890
m invfun.m
function invFUN(action)
%**************************************************************%
%This functions is intended for use with the invGUI.m file. It%
%contains the code necessary to run the G
www.eeworm.com/read/262722/11392541
m mom1.m
%长直线导体电容的计算
function C=NO1
L=3;
% N=30;
a=0.01;
e=1/(36*pi)*(1e-9);
k=1;
%for N=3:1:50
for L=1:10
m=N;
n=N;
www.eeworm.com/read/408213/11401533
m examp7_17.m
opt=odeset; opt.RelTol=1e-6;
[t,x]=ode45('c7ximp',[0,10],[0; 0],opt); plot(t,x)
www.eeworm.com/read/408213/11401623
m examp8_33.m
f1=figure; f2=figure;
for n=5:2:20
figure(f1); [b,a]=butter(n,0.1); y2=filter(b,a,y1); plot(x,y2); hold on
figure(f2); [h,w]=freqz(b,a,100); plot(w,abs(h)); hold on
end
for wn=0.1:0.1:0
www.eeworm.com/read/408213/11401692
m examp10_22.m
[a,y,x]=wavefun('db6',2); subplot(141), plot(x,y)
[a,y,x]=wavefun('db6',4); subplot(142), plot(x,y)
[a,y,x]=wavefun('db6',6); subplot(143), plot(x,y)
[a,y,x]=wavefun('db6',8); subplot(144), plot(x,
www.eeworm.com/read/408136/11404731
m gafault.m
% 用GA训练BP网络的权值、阈值
tic, % 开始计时
[P,T,R,S1,S2,S]=nninit; % BP网络初始化
aa=ones(S,1)*[-1 1];
popu=60; % 初始种群个数
initPpp=initializega(popu,aa,'gabpEval');
gen=700; % 遗传代数
[x endPop bPop trace]=ga(aa,'gab
www.eeworm.com/read/407914/11408668
m gfdemo01.m
% 1DDEMO01 Demonstrate 1-D Gabor functionality
%
% References:
% [1] Kamarainen, J.-K., Kyrki, V., Kalviainen, H., Gabor
% Features for Invariant Object Recognition, Research
% repo