How to make(create) a waveform in matlab as shown in the image
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Hello,
I am not sure of how to create the kind of waveform shown in the image below. I found a paper in which the author says that the pulse signal is corrupted with noise(motion) and LMS adaptive filtering is used for removing this kind of noise.
1)The signal after removing motion artifacts(noise) means the pure pulse signal is shown below
2)The waveform pulse signal with noise before filtering with LMS adaptive filtering is shown below.
I want to experiment the implementation in matlab and so I need the noise waveform to be created in the matlab.
can someone explain of how to generate the pulse signal(with noise) as above.
thanks.
2 个评论
Image Analyst
2014-1-1
编辑:Image Analyst
2014-1-1
Explain what that means. Do you want to get the values by manually clicking on some chart like this? Or do you want us to recommend some kind of electronic instrument, a waveform generator, that can be used with the data acquisition toolbox to digitize the voltage? Do you want us to make some waveform like a sawtooth or sine wave or whatever, and add noise to it? After you read this again you need to rephrase your question.
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Youssef Khmou
2014-1-2
编辑:Youssef Khmou
2014-1-2
the first signal is similar to sawtooth signal, here is how to produce the signal :
t=0:0.01:10;
y=sawtooth(2*pi*t); plot(t,y)
axis([0 10 -5 5]); grid on
%snr=10;
%x=awgn(y,snr,'measured');
%figure, plot(t,x)
SNR=10; % 10dB
sigma=std(y)*10^(-SNR/20);
x=y+sigma*randn(size(t));
figure, plot(t,x);
10 个评论
Youssef Khmou
2014-1-6
Gova, you have many possibilities , here are some of them :
t=0:0.001:10;
y=0;
for n=1:10
y=y+sawtooth(2*pi*n*t);
end
plot(t,y)
The second one :
f=cos(2*pi*(0:0.001:1-0.001)); % frequency of 1Hz,
f=[f f f f f f f f f f];
f(end+1)=f(end);
z=y+f;
figure, plot(t,z);
Youssef Khmou
2014-1-6
try to use also the periodic Cardinal sinus function :
plot(diric((0:0.1:100),10))
更多回答(2 个)
Youssef Khmou
2014-1-6
You can also create a random signal, delete of the frequencies and transform it back to temporal domain:
x=randn(200,1);
fx=fft(x);
fx(50:350)=0;
X=abs(ifft(fx));
plot(X) % approaching the second signal
5 个评论
Image Analyst
2014-1-6
You "also posted many times in the mathworks forum but no one was replying to it ." might indicate that no one here knows about your topic, and that posting many times again will yield similar non-results.
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