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找到约 10,000 项符合「plot」的源代码
代码结果 10,000
www.eeworm.com/read/456534/7345649
m tiaohe1.m
clear all
t=0:0.0001:1;
subplot(4,1,1)
f1=2*t.^3-3*t.^2+1;
plot(t,f1,'r')
grid on
ylabel('t')
subplot(4,1,2)
f2=-2*t.^3+3*t.^2;
plot(t,f2,'c')
grid on
ylabel('t')
subplot(4,1,3)
f3=t.^3-2
www.eeworm.com/read/456497/7347790
cpp c61.cpp
// c61.cpp : Defines the entry point for the console application.
//
#include "stdafx.h"
#include
#include
const int SIZE = 9;
// --------------------------------
www.eeworm.com/read/456354/7351442
m am.m
% am.m
% Matlab demonstration script for DSB-AM modulation. The message signal
% is +1 for 0 < t < t0/3, -2 for t0/3 < t < 2t0/3 and zero otherwise.
echo on
t0=.15; % sig
www.eeworm.com/read/456354/7351444
m dsb2.m
% dsb2.m
% Matlab demonstration script for DSB-AM modulation. The message signal
% is m(t)=sinc(100t).
echo on
t0=.2; % signal duration
ts=0.001; % sampling interval
fc=250; % carrier
www.eeworm.com/read/456354/7351447
m am_dem.m
% am-dem.m
% Matlab 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.
echo on
t0=.15;
www.eeworm.com/read/456354/7351448
m fm2.m
% fm2.m
% Matlab demonstration script for frequency modulation. The message signal
% is m(t)=sinc(100t).
echo on
t0=.2; % signal duration
ts=0.001;
www.eeworm.com/read/456354/7351451
m dsb1.m
% dsb1.m
% Matlab demonstration script for DSB-AM modulation. The message signal
% is +1 for 0 < t < t0/3, -2 for t0/3 < t < 2t0/3 and zero otherwise.
echo on
t0=.15; % si
www.eeworm.com/read/456354/7351452
m lssb.m
% lssb.m
% Matlab demonstration script for LSSB-AM modulation. The message signal
% is +1 for 0 < t < t0/3, -2 for t0/3 < t < 2t0/3 and zero otherwise.
echo on
t0=.15;
www.eeworm.com/read/455345/7373006
m m2.m
fp=[480,520];
fs=[450,550];
wp=[480,520]*pi*2;
ws=[450,550]*pi*2;
rp=3;
rs=20;
[n,wn]=buttord(wp,ws,rp,rs,'s');
[b,a]=butter(n,wn,'s');
[ha,w]=freqs(b,a);
ma=abs(ha);
pha=unwrap(angle(ha));
www.eeworm.com/read/455115/7377707
m testfund.m
% Demonstration of feature matching via simple correlation, and then using
% RANSAC to estimate the fundamental matrix and at the same time identify
% (mostly) inlying matches
%
% Usage: testfund