代码搜索：多信号
找到约 10,000 项符合「多信号」的源代码
代码结果 10,000
www.eeworm.com/read/314196/13571830
m mulaw_c.m
function [y] = mulaw_c(s,mu)
% mu-定律的压缩器
% -----------------
% [y] = mulaw_c(s,mu)
% y = 压缩了的输出信号
% s = -1 和 1之间的零均值归一化信号
% mu = 参数 mu
%
if mu == 0
y = s;
else
y = (log(1+mu*abs(s)
www.eeworm.com/read/307267/13724801
txt frequencyspectrum.txt
n=[-64:64];
y=sin(pi*n/25);
subplot(2,1,1);
plot(n,y);
Y=fft(y); %对正弦信号fft变换
subplot(2,1,2);
plot(n,abs(Y));
ylabel('Y(k)');
title('信号频谱分布');
d,锯齿波
Fs=500;
t=0:1/Fs:0.3;
x=sawtoot
www.eeworm.com/read/303424/13816473
plg signal.plg
礦ision3 Build Log
Project:
G:\资料\信号发生\signal\信号发生器单片机C程序\signal.uv2
Project File Date: 08/19/2007
Output:
www.eeworm.com/read/302325/13837700
m idfs.m
function [xn] = idfs(Xk,N)
% 计算逆离散付利叶级数(IDFS)
% ----------------------------------------
% [xn] = idfs(Xk,N)
% xn = 周期信号在 0
www.eeworm.com/read/302325/13837779
m mulaw_c.m
function [y] = mulaw_c(s,mu)
% mu-定律的压缩器
% -----------------
% [y] = mulaw_c(s,mu)
% y = 压缩了的输出信号
% s = -1 和 1之间的零均值归一化信号
% mu = 参数 mu
%
if mu == 0
y = s;
else
y = (log(1+mu*abs(s)
www.eeworm.com/read/301807/13848173
m f7_3.m
%两线性调频信号叠加
N=64;
sig=sigmerge(fmlin(N,0,0.4),fmlin(N,0.3,0.5),1);
%计算信号的Wibner-Ville分布
[tfr,t,f]=tfrwv(sig);
%绘图
%%绘制等高线图
figure(1);
contour(t,f,abs(tfr).^2);
xlabel('时间 t');
ylabel('频率 f');
www.eeworm.com/read/301807/13848263
m f8_2.m
%实验信号
N=1024;
t=1:N;
%%外环故障信号
fid=fopen('I3CH4.dat','r');
sig=fread(fid,N,'int16');
fclose(fid);
%归一化
sig=(sig-mean(sig))/std(sig,1);
%采样频率
fs=10000;
%时域波形
figure(1)
plot(t/fs,sig);
x
www.eeworm.com/read/150632/5689929
m ex031800.m
% 第三章: 例 3.18:
%
% 模拟信号
Dt = 0.00005;
t = -0.005:Dt:0.005;
xa = exp(-1000*abs(t));
% 离散时间信号
Ts = 0.001; n = -5:1:5;
x = exp(-1000*abs(n*Ts));
% 离散时间付利叶变换
K = 500; k = 0:1:K;
w = pi*k/K;
X
www.eeworm.com/read/150632/5689937
m ex03180a.m
% 第三章: 例 3.18a:
%
% 模拟信号
Dt = 0.00005;
t = -0.005:Dt:0.005;
xa = exp(-1000*abs(t));
% 离散时间信号
Ts = 0.0002; n = -25:1:25;
x = exp(-1000*abs(n*Ts));
% 离散时间付利叶变换
K = 500; k = 0:1:K;
w = pi*k/K;
www.eeworm.com/read/150632/5689938
m ex032100.m
% 第三章 : 例 3.21
% 利用stairs和plot函数进行重构
%
figure(1); clf
% 离散时间信号 x1(n) : Ts = 0.0002
Ts = 0.0002; n = -25:1:25; nTs = n*Ts;
x = exp(-1000*abs(nTs));
% 利用stairs重构模拟信号
subplot(2,1,1);