Data processing of raw measurements: Difference between revisions
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The following are specific recommendations for processing raw measurements, which are non-specific to a brand/make of instrument. As such, initial removal of bad data based on recommendations of the instrument manufacturer should be performed first (e.g. removing data with low correlation). Following that, you must: | The following are specific recommendations for processing raw measurements, which are non-specific to a brand/make of instrument. As such, initial removal of bad data based on recommendations of the instrument manufacturer should be performed first (e.g. removing data with low correlation). Following that, you must: | ||
Revision as of 00:20, 14 December 2021
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| Author(s): | Cynthia |
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The following are specific recommendations for processing raw measurements, which are non-specific to a brand/make of instrument. As such, initial removal of bad data based on recommendations of the instrument manufacturer should be performed first (e.g. removing data with low correlation). Following that, you must:
- Despike the velocity observations
- Remove segments of the time series where there is interference from the instrument frame
- Determine the measurement noise levels in the time-domain
