代码搜索：辅同步信号
找到约 10,000 项符合「辅同步信号」的源代码
代码结果 10,000
www.eeworm.com/read/318233/3570985
m program_14_06.m
% 使用Haar小波，得到相应的提升方案
lshaar = liftwave('haar');
% 添加ELS 到提升方案
els = {'p',[-0.125 0.125],0};
lsnew = addlift(lshaar,els);
% 对于简单信号，尺度为1进行LWT
x = 1:8;
[cA,cD] = lwt(x,lsnew)
% 对上面的信号，进行整数LWT
ls
www.eeworm.com/read/318233/3570989
m program_14_10.m
% 使用Haar小波，得到相应的提升方案
lshaar = liftwave('haar');
% 添加ELS 到提升方案
els = {'p',[-0.125 0.125],0};
lsnew = addlift(lshaar,els);
% 对于简单信号，尺度为1进行LWT
x = 1:8;
[cA,cD] = lwt(x,lsnew);
% 对上面的信号，进行整数LWT
l
www.eeworm.com/read/318233/3571034
m program_13_23.m
%装载源信号
load noisbump;
s=noisbump(1:1000);
figure(1);
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);
[sc,treed,perf0,perfl2]
www.eeworm.com/read/312898/3647561
m rcosine_filter.m
Fd= 1; %输入信号的采样率
Fs = 8; %输出信号的采样率
Delay = 3; %滤波器的群时延
R = 0.5; %滚降因子
[yf,tf] = rcosine(Fd,Fs,'fir',R,Delay);
plot(yf)
grid
xlabel('Time')
ylabel('Amplitude');
% impz(rrcfilter,1); % 另外一种
www.eeworm.com/read/311745/3677920
m rcosine_filter.m
Fd= 1; %输入信号的采样率
Fs = 8; %输出信号的采样率
Delay = 3; %滤波器的群时延
R = 0.5; %滚降因子
[yf,tf] = rcosine(Fd,Fs,'fir',R,Delay);
plot(yf)
grid
xlabel('Time')
ylabel('Amplitude');
% impz(rrcfilter,1); % 另外一种
www.eeworm.com/read/442451/1761656
m rcosine_filter.m
Fd= 1; %输入信号的采样率
Fs = 8; %输出信号的采样率
Delay = 3; %滤波器的群时延
R = 0.5; %滚降因子
[yf,tf] = rcosine(Fd,Fs,'fir',R,Delay);
plot(yf)
grid
xlabel('Time')
ylabel('Amplitude');
% impz(rrcfilter,1); % 另外一种
www.eeworm.com/read/379834/2666592
m rcosine_filter.m
Fd= 1; %输入信号的采样率
Fs = 8; %输出信号的采样率
Delay = 3; %滤波器的群时延
R = 0.5; %滚降因子
[yf,tf] = rcosine(Fd,Fs,'fir',R,Delay);
plot(yf)
grid
xlabel('Time')
ylabel('Amplitude');
% impz(rrcfilter,1); % 另外一种
www.eeworm.com/read/379055/2677312
m rcosine_filter.m
Fd= 1; %输入信号的采样率
Fs = 8; %输出信号的采样率
Delay = 3; %滤波器的群时延
R = 0.5; %滚降因子
[yf,tf] = rcosine(Fd,Fs,'fir',R,Delay);
plot(yf)
grid
xlabel('Time')
ylabel('Amplitude');
% impz(rrcfilter,1); % 另外一种
www.eeworm.com/read/378175/2689907
m example2_5_1.m
load noisdopp; %装载信号
s = noisdopp;
[swa,swd] = swt(s,1,'db1'); %完成信号的单尺度一维离散平稳小波分解
whos
figure(1);
subplot(1,2,1), plot(swa); %显示低频和高频部分
title('Approximation cfs')
subplot(1,2,2), plot(swd);
www.eeworm.com/read/367675/2832851
m example2_5_1.m
load noisdopp; %装载信号
s = noisdopp;
[swa,swd] = swt(s,1,'db1'); %完成信号的单尺度一维离散平稳小波分解
whos
figure(1);
subplot(1,2,1), plot(swa); %显示低频和高频部分
title('Approximation cfs')
subplot(1,2,2), plot(swd);