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moving window calculations are done over the entire dataset. It should be done post filter so the moving window does not include filtered data in its calculations. This is most apparent in HP/TQ displays, where if acceleration data changes abruptly near the end of a filtered region, you get a huge drop off early in the region due to data from outside of the filtered region.
The text was updated successfully, but these errors were encountered:
nyetwurk
changed the title
The run filter and moving window functions interfere
The run filter and moving window functions interfere, resulting in HP/TQ plots that have huge drop offs early in the run
Feb 27, 2018
Fix would be to only apply smoothing/moving average to filtered data that exists in the ranges. Also, do separate smoothing per range so each range is not affected by its neighbor.
moving window calculations are done over the entire dataset. It should be done post filter so the moving window does not include filtered data in its calculations. This is most apparent in HP/TQ displays, where if acceleration data changes abruptly near the end of a filtered region, you get a huge drop off early in the region due to data from outside of the filtered region.
The text was updated successfully, but these errors were encountered: