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At present, the only fill option prysm has is the kludgy constant value fill. This creates discontinuities in data that corrupt spectral estimates. It would be preferred to allow the user to fill zeros with interpolated values. It's not certain whether actual interpolation (scipy.interpolate.interp2d) or something like a polynomial fit would be better. The latter is easier to implement and may be faster.
The text was updated successfully, but these errors were encountered:
The current library structure is not very conducive to this as a built in, since it would force a lot of choices on the user. But it is easy to implement/show in the docs as a recipe
At present, the only fill option prysm has is the kludgy constant value fill. This creates discontinuities in data that corrupt spectral estimates. It would be preferred to allow the user to fill zeros with interpolated values. It's not certain whether actual interpolation (
scipy.interpolate.interp2d
) or something like a polynomial fit would be better. The latter is easier to implement and may be faster.The text was updated successfully, but these errors were encountered: