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I am filtering a signal, and want to check if I am not over filtering it , I wanted to use cross correlation , but I am not sure if it is a good technique. usually I get something like the following as Cross Correlation between the signal itself and the filtered one. i sit a good criteria?:

The filter is 4th order Bessel, lowpass filter, with 250Hz pass band for a 512Hz signal. no time lag between filtered and original

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  • $\begingroup$ Could you please put a plot with the original and the filtered data? $\endgroup$
    – NMech
    Commented Dec 14, 2020 at 13:22
  • $\begingroup$ well, I have limit of permission. I can't. is it possible to answer based on this ? $\endgroup$
    – FabioSpaghetti
    Commented Dec 14, 2020 at 13:55
  • $\begingroup$ The filter is 4th order Bessel, lowpass filter, with 250Hz pass band for a 512Hz signal. no time lag between filtered and original $\endgroup$
    – FabioSpaghetti
    Commented Dec 14, 2020 at 13:57
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    $\begingroup$ I've never really used cross correlation for that purpose. Maybe you are on to something but I can't really tell. My advice, is have a look at your original and filtered signal, try to some some overfitting and check whether you can make sense using the cross correlation. $\endgroup$
    – NMech
    Commented Dec 14, 2020 at 13:59

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