代码搜索：多信号

找到约 10,000 项符合「多信号」的源代码

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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/324404/13264472

m rx_combine.m

function [symbol_sequence,bit_sequence]=rx_combine(rx,channel,use_relay,mrc_rx); %在接收端合并两路信号,并判决出发送信号序列 global signal; global relay; values2analyse=rx.signal2analyse; switch rx.combining_
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www.eeworm.com/read/315096/13552371

m f8_6.m

%实验信号 N=1024; t=1:N; %齿轮裂纹故障信号 fid=fopen('gearch1.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);
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www.eeworm.com/read/315096/13552374

m f8_3.m

%实验信号 N=1024; t=1:N; %滚动体故障信号 fid=fopen('rCH4.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); xl
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www.eeworm.com/read/315096/13552375

m f8_5.m

%实验信号 N=1024; t=1:N; %齿轮点蚀故障信号 fid=fopen('gearch9.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);
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www.eeworm.com/read/315096/13552429

m f15_3.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
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www.eeworm.com/read/315096/13552430

m f15_1.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
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www.eeworm.com/read/314196/13571824

m dfs.m

function [Xk] = dfs(xn,N) % 计算离散付利叶级数(DFS)系数 % --------------------------------------------- % [Xk] = dfs(xn,N) % Xk = 在0
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www.eeworm.com/read/308467/13700605

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
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www.eeworm.com/read/305249/13776042

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);
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www.eeworm.com/read/302325/13837773

m dfs.m

function [Xk] = dfs(xn,N) % 计算离散付利叶级数(DFS)系数 % --------------------------------------------- % [Xk] = dfs(xn,N) % Xk = 在0
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