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220 points wonger_ | 1 comments | | HN request time: 0s | source
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plasticeagle ◴[] No.42191292[source]
This is cool, but a moving average filter is pretty bad at removing noise - it tends to be longer than it needs to be because its passband is so bad. Try using a IIR filter instead. You don't need to deal with calculating the coefficients correctly because they'll just be empirically determined.

out = last_out * x + input * (1-x)

Where x is between zero and one. Closer to one, the more filtering you'll do. You can cascade these too, to make a higher order filter, which will work even better.

replies(2): >>42191330 #>>42191815 #
reynaldi ◴[] No.42191815[source]
Interesting, never heard of the IIR filter before, will keep in mind as one of the options if I ever worked with removing noise again, thanks for sharing!
replies(1): >>42193074 #
1. jmiskovic ◴[] No.42193074[source]
You are already using the IIR filter as part of one-euro filter. The 1€ filter is an adaptive filter that uses first-order IIR, also called exponential filter as its bases. Depending on your filtering parameters you can turn off the adaptive part and you are left with just the IIR.