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Currently using scipy.signal.decimate in time_series_helpers.py. resample_poly seems faster and has more capabilities.
Before switching over, setting up a tool to compare results of both and running it on some example time series should be done. This could be put into a test.
A preliminary test has been created in aurora/tests/synthetic/test_decimation_methods.py
This currently compares aurora's prototype_decimate function with mth5's built-in run_ts.sps_filters.decimate
The text was updated successfully, but these errors were encountered:
Currently using scipy.signal.decimate in time_series_helpers.py. resample_poly seems faster and has more capabilities.
Before switching over, setting up a tool to compare results of both and running it on some example time series should be done. This could be put into a test.
A preliminary test has been created in aurora/tests/synthetic/test_decimation_methods.py
This currently compares aurora's
prototype_decimate
function with mth5's built-inrun_ts.sps_filters.decimate
The text was updated successfully, but these errors were encountered: