代码搜索：小信号
找到约 10,000 项符合「小信号」的源代码
代码结果 10,000
www.eeworm.com/read/160251/10549093
m 例程16-9.m
%生成含噪的多项式信号
N=800;
t=1:N;
sig=t.^2-t+1;
x=sig+randn(1,N);
%一维小波分解
[c,l] = wavedec(x,4,'db3');
%[c,l] = wavedec(x,4,'db2');
%重构第1～4层逼近系数
a4 = wrcoef('a',c,l,'db3',4);
a3 = wrcoef('a',c,l,'db3
www.eeworm.com/read/160248/10550050
m f10_2.m
%生成含噪的多项式信号
N=800;
t=1:N;
sig=t.^2-t+1;
x=sig+randn(1,N);
%一维小波分解
[c,l] = wavedec(x,4,'db3');
%[c,l] = wavedec(x,4,'db2');
%重构第1-4层逼近系数.
a4 = wrcoef('a',c,l,'db3',4);
a3 = wrcoef('a',c,l,'db
www.eeworm.com/read/464287/7166724
m a38.m
load wbarb; %装载图像信号
whos
figure(1);
image(X); colormap(map); colorbar; %显示图像
[cA1,cH1,cV1,cD1] = dwt2(X,'bior3.7'); %完成图像的单尺度小波分解
A1 = upcoef2('a',cA1,'bior3.7',1); %从系数中重构低频和高频部分
H1 = upcoef2('
www.eeworm.com/read/327991/7532391
m program_16_09.m
%生成含噪的多项式信号
N=800;
t=1:N;
sig=t.^2-t+1;
x=sig+randn(1,N);
%一维小波分解
[c,l] = wavedec(x,4,'db3');
%[c,l] = wavedec(x,4,'db2');
%重构第1～4层逼近系数
a4 = wrcoef('a',c,l,'db3',4);
a3 = wrcoef('a',c,l,'db3
www.eeworm.com/read/327991/7532553
m program_04_01.m
%% 本程序采用Mallat算法对信号进行小波分析
clc;clear;
%% 1.正弦波定义
f1=50; % 频率1
f2=100; % 频率2
fs=2*(f1+f2); % 采样频率
Ts=1/fs; % 采样间隔
N=120; % 采样点数
n=1:N;
y=sin(2*pi*f1*n*Ts)+sin(2*pi*f2*n*Ts
www.eeworm.com/read/447711/7546281
m program_16_09.m
%生成含噪的多项式信号
N=800;
t=1:N;
sig=t.^2-t+1;
x=sig+randn(1,N);
%一维小波分解
[c,l] = wavedec(x,4,'db3');
%[c,l] = wavedec(x,4,'db2');
%重构第1～4层逼近系数
a4 = wrcoef('a',c,l,'db3',4);
a3 = wrcoef('a',c,l,'db3
www.eeworm.com/read/447711/7546407
m program_04_01.m
%% 本程序采用Mallat算法对信号进行小波分析
clc;clear;
%% 1.正弦波定义
f1=50; % 频率1
f2=100; % 频率2
fs=2*(f1+f2); % 采样频率
Ts=1/fs; % 采样间隔
N=120; % 采样点数
n=1:N;
y=sin(2*pi*f1*n*Ts)+sin(2*pi*f2*n*Ts
www.eeworm.com/read/197111/8028350
m examp16_9.m
%生成含噪的多项式信号
N=800;
t=1:N;
sig=t.^2-t+1;
x=sig+randn(1,N);
%一维小波分解
[c,l] = wavedec(x,4,'db3');
%[c,l] = wavedec(x,4,'db2');
%重构第1～4层逼近系数
a4 = wrcoef('a',c,l,'db3',4);
a3 = wrcoef('a',c,l,'db3
www.eeworm.com/read/315096/13552434
m f10_2.m
%生成含噪的多项式信号
N=800;
t=1:N;
sig=t.^2-t+1;
x=sig+randn(1,N);
%一维小波分解
[c,l] = wavedec(x,4,'db3');
%[c,l] = wavedec(x,4,'db2');
%重构第1-4层逼近系数.
a4 = wrcoef('a',c,l,'db3',4);
a3 = wrcoef('a',c,l,'db
www.eeworm.com/read/305249/13776040
m example2_4_1.m
load wbarb; %装载图像信号
whos
figure(1);
image(X); colormap(map); colorbar; %显示图像
[cA1,cH1,cV1,cD1] = dwt2(X,'bior3.7'); %完成图像的单尺度小波分解
A1 = upcoef2('a',cA1,'bior3.7',1); %从系数中重构低频和高频部分
%A11=dct2(A1);