filtering and smoothening of acquired data due to noise

Question

CLARK KENDRICK GO 2018-2-8

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评论： Anupam Sharma 2022-6-2

I have position data sets acquired from noisy sources and I wanted to filter/smoothen them to rid the effects of noise. The aim is to be able to get their velocities and perform other computations. I would like to ask what a nice filter/smoothening function would be appropriate.

I previously used Butterworth filter, but perhaps that is too 'strong'? Is there any thing more appropriate?

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Answer 1

Star Strider 2018-2-8

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It depends on the frequency characteristics of the noise. If your signal is limited to a specific part of the frequency spectrum (usually low frequencies), you can eliminate higher frequency noise with a properly designed lowpass or bandpass filter. Broadband noise can never be completely eliminated by a frequency-selective filter. For that, you must use wavelets.