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License: MIT License
Two-dimensional Savitzky-Golay filter
License: MIT License
Hi, this is an amazing content. I would like to filter my 2D signal to obtain both the velocity and acceleration at a time t, in order to estimate a CTRA model. Which method would you recommend to me? I am using the Argoverse Motion Forecasting dataset.
An example of what I am trying to do is as following:
After reading the code, I have been puzzled by a problem that I can't solve after thinking for a long time: why use 'np.fliplr' in '_compute_kernel' method?
I want to estimate the velocity and acceleration given some observation data. Despite the fact that this filter works quite well, is it possible to go from 20 noisy points (assuming the sampling frequency is 10 Hz) to 40 SGolay filtered points, assuming the sampling frequency is 20 Hz, in order to compute the velocity and acceleration? Since we need a fixed period.
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