If I want to downsample a signal in Python, is it better to use method resample from SciPy Signal Processing module or method decimate from the same module? What is the difference between these two approaches? And my next question is: Which is the best way of upsampling a signal?

Thank you very much for replies.

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    $\begingroup$ Hi, Welcome to Signal Processing StackExchange! So, scipy has pretty good documentation, so you can directly compare these two, and ask a question based on the documentation, maybe? That would be better then asking us to reproduce the documentation first, I think. $\endgroup$ – Marcus Müller Nov 2 '17 at 7:52
  • $\begingroup$ Thank you for the welcome! I have already read SciPy documentation, I understand that resample uses the Fourier transform and decimate uses the antialiasing filter, but it is not clear to me what is it best practice (if there is any). $\endgroup$ – Nela Nov 2 '17 at 8:10
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    $\begingroup$ Interesting! for which purpose do you want to downsample? What's your in- and output? $\endgroup$ – Marcus Müller Nov 2 '17 at 9:18
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    $\begingroup$ I have at my disposal signals which are sampled with the frequency 100 kHz and they can be even several hours long, they take a lot of memory. Moreover, I think it is necessary to have such a high sampling frequency (in one setting the maximal frequency of the signal is 100 Hz, in other setting it is unknown, but I assume it is waaaay smaller than 50 kHz.) $\endgroup$ – Nela Nov 7 '17 at 8:01

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