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Signal filtering and FFT

조회 수: 3 (최근 30일)
vanrapa
vanrapa 2019년 4월 10일
편집: vanrapa 2020년 3월 24일
Hello,
I have a real time vibration data for 3.0599 seconds sampled at 9600 Hz.
I need to compute the FFT of the signal and find the peaks.
My frequency of interest is 0 to 600 Hz. I used low pass filter to filter the signal,
Fs = 9600;
Fn = Fs/2;
Wp = 600/Fn;
Ws = 601/Fn;
Rp = 10;
Rs = 50;
[n,Ws] = cheb2ord(Wp,Ws,Rp,Rs);
[c,b,a] = cheby2(n,Rs,Ws);
[soslp,glp] = zp2sos(c,b,a);
figure;
freqz(soslp, 2^16, Fs)
fAW1 = filtfilt(soslp, glp, AW1);
figure;
plot(f1,fAW1)
But I am not satisfied with the FFT results that I am getting from my filtered signal.
Is the procedure I am adopting correct? If not, what am I supposed to do to improve the result?
Thanks in advance.
  댓글 수: 3
vanrapa
vanrapa 2019년 4월 12일
Thanks for your reply.
I am looking into wavelet denoising for my signal now. Do you know of any procedure to choose the appropriate wavelet type and level pertaining to my signal?
Star Strider
Star Strider 2019년 4월 12일
My pleasure.
I would begin with the wdenoise (link) function, and go from there. That might be all you need.

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