Which filter should I use to remove the high frequency component from this signal?

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Susan 2020-5-2

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评论： Susan 2020-5-5

Hi,

I have a time-varing signal and I would like to figure out what is the best filter (low-pass, band-pass, high-pass) to apply in order to remove the high frequency component. I've plotted the signal vs time, and then applied fft and pwelch seperately on the signal. Here are the results:

It seems that the frequency domain doesn't give me much more information than time domain. Am I missing something here? Any hint/input would be greatly appreciated.

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Ameer Hamza 2020-5-4

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What about smoothdata(). Experiment with the filter types

x = rand(1,1000)+50;
y = smoothdata(x, 'gaussian', 20);
plot(x);
figure
plot(y);

Unfiltered:

filtered:

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Ameer Hamza 2020-5-5

smoothdata() does not consider the frequency domain spectrum of the signal. smoothdata() only considers the time-domain profile of the signal and smooth the waveform by applying a window-based filtering method on the signal. Also, it does not detrend the data. As far as the frequency domain spectrum, I don't have much hands-on experience with that, so I cannot be of much help in that regard.

Susan 2020-5-5

Thanks for the information. It was benefitial. I appreciate your time and help.

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