代码搜索:序列信号
找到约 10,000 项符合「序列信号」的源代码
代码结果 10,000
www.eeworm.com/read/367675/2832825
m example6_16.m
%装载信号
load leleccum;
%============================
%截取信号中的一段[2600,3100]
s=leleccum(2600:3100);
%============================
%用小波db3对s进行三层分解
[c,l]=wavedec(s,3,'db3');
%==================
www.eeworm.com/read/367675/2832828
m example6_17.m
%装载源信号
load noisbump;
s=noisbump(1:1000);
subplot(2,1,1);
plot(s);
title('原始信号');
%==============================
%采用默认阈值,以小波包函数wpdencmp对s进行压缩处理
[thr,sorh,keepapp,crit]=ddencmp('cmp','wp',s);
www.eeworm.com/read/367675/2832833
m example6_15.m
%装载原始信号并图示之
load noismima;
s=noismima(1:1000);
subplot(2,2,1);
plot(s);
title('原始信号');
%==============================
%采用默认阈值、用wdencmp函数进行消噪处理
[thr,sorh,keepapp,crit]=ddencmp('den','wp',s);
www.eeworm.com/read/358021/3007471
m conv_example.m
%conv_example.m
%计算卷积的例子
u = ones(1,15); %阶跃信号
v = zeros(1,25);
v(5:25) = 0:1/20:1; %线性信号
w=conv(u,v); %卷积
subplot(3,1,1); %画
www.eeworm.com/read/358021/3007473
m fliter_example.m
%filter_example.m
%对带噪声的正弦信号进行平均值滤波
t=0:0.1:10; %时间
n = 6*randn(size(t)); %高斯白噪声
x = 40*sin(t)+n; %在正弦信号中添加噪声
a = 1;
www.eeworm.com/read/395706/8158226
m untitled2.m
Fs=512; %采样频率
t=0:1/Fs:1.99805;
load dtdld03.txt; %添加信号文本文件
x=dtdld03(1:1024,4); %设置输入信号x
figure
subplot(2,1,1);
plot(t,x
www.eeworm.com/read/393857/8258804
m a44.m
%装载源信号
load noisbump;
s=noisbump(1:1000);
subplot(2,1,1);
plot(s);
title('原始信号');
%==============================
%采用默认阈值,以小波包函数wpdencmp对s进行压缩处理
[thr,sorh,keepapp,crit]=ddencmp('cmp','wp',s);
www.eeworm.com/read/393857/8259106
m a42.m
%装载原始信号并图示之
load noismima;
s=noismima(1:1000);
subplot(2,2,1);
plot(s);
title('原始信号');
%==============================
%采用默认阈值、用wdencmp函数进行消噪处理
[thr,sorh,keepapp,crit]=ddencmp('den','wp',s);
www.eeworm.com/read/366847/9795986
m s_gps_ins_position_sp_demo.m
%GPS/INS组合导航
%%%%%%%%%%%%%%%%%%
%edit by horsejun
%%%%%%%%%%%%%%%%%%
%量测信号: 位置
%INS输出数据由simulink计算得出
%参考文献《GPS导航原理与应用》——王惠南
clear
clc
%得到轨迹信号
load ode500
Re = 6378245;
www.eeworm.com/read/269453/11097547
m conv_example.m
%conv_example.m
%计算卷积的例子
u = ones(1,15); %阶跃信号
v = zeros(1,25);
v(5:25) = 0:1/20:1; %线性信号
w=conv(u,v); %卷积
subplot(3,1,1); %画