Remove high frequency noise

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Deepayan Bhadra
Deepayan Bhadra on 7 Feb 2014
Commented: Patrik Ek on 10 Feb 2014
I have a highly corrupted data set (blue in attached image). How do I remove the high frequency noise and recover the original signal (red)? I want to use a low pass Butterworth filter of first order.

Accepted Answer

Patrik Ek
Patrik Ek on 10 Feb 2014
There is a function in matlab called "butter" that creates the coefficients to a butterworth filter of order N with cut-off frequency Wn. See MATLAB help. Then the function "filter" can be used to filter the signal. Notice however that the functions uses normalized frequencies here.
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Deepayan Bhadra
Deepayan Bhadra on 10 Feb 2014
Thank you! I eventually found out from a youtube video. But I could not understand exactly what 'normalized' here means. For e.g, say my cut-off is 5 Hz and the total f range is 500 Hz, is it 5/500?
Patrik Ek
Patrik Ek on 10 Feb 2014
It is kind of right, but not accurate enough. I am not a hundred sure of how matlab normalizes these function, but I think that matlab uses the convention,
fnorm = 2*freal/fsample
There are a difference between range, since that is specified by you. Eg you may have a valid range for some model as 0 to 20hz even though the sample rate is 100 hz

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