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Correcting a y-shift when filtering signal in the frequency domain

조회 수: 4(최근 30일)
Josh Selfe
Josh Selfe 2021년 8월 17일
댓글: Mathieu NOE 2021년 8월 24일
I am trying to apply a low-pass filter to a signal ro remove noise.
I have applied the filter and corrected for the x-shift as shown below:
filtertype = 'FIR';
Ts = (time(end)/1000)/N; %sampling interval. time is in ms
Fs = 1/Ts; %sampling frequency
Fpass = 10;
Fstop = 50;
Rp = 5;
Astop = 100;
LPF = dsp.LowpassFilter('SampleRate',Fs,...
output = step(LPF, voltage);
fig1 = figure ();
plot(time, voltage, time,output);
legend('Raw Data', 'Filtered Data');
%correcting for x-shift
delay = mean(grpdelay(LPF));
tshift = time(1:end-delay);
vshift = voltage(1:end-delay);
output(1:delay+1) = [];
legend('Original Signal','Filtered Shifted Signal');
However, there is a y-shift in the filtered data which I cannot seem to prevent (see attached PNG, with similar data with 6 traces before filtering and 6 after filtering), no matter how I change the filter parameters.
Is my method of filtering incorrect, and thus producing this shift? Or how can I correct for the shift?

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Mathieu NOE
Mathieu NOE 2021년 8월 23일
hello Josh
when it comes to smooth a noisy signal, I usually go for smoothdata. Code is simple and it works well , no delay between output and input
% %%%%%%%%%%%%%%%%
output = smoothdata(voltage, 'gaussian' , 3500);
title(['Data samples at Fs = ' num2str(round(Fs)) ' Hz / Smoothed with smoothdata' ]);
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Mathieu NOE
Mathieu NOE 2021년 8월 24일
My pleasure
would you accept my answer ?

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