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somewhat related fft/data smoothing:

https://dawn.cs.stanford.edu/2017/08/07/asap/

made a recent demo vs a moving avg: https://leeoniya.github.io/uPlot/demos/data-smoothing.html

moving avg takes a bunch of samples to converge, while ASAP does it much faster, which seems to also be a key property of these Kalman filters as well?




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