Segmenting datasets: Difference between revisions
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* Determine how (or if at all) you should replace missing samples | * Determine how (or if at all) you should replace missing samples | ||
* Rotate the measurements into the frame of reference of the mean flow | * [[Rotation of the velocity measurements|Rotate the measurements]] into the frame of reference of the mean flow | ||
* Use the concept of [[Reynolds decomposition]] to obtain the turbulence signal from the total velocity | * Use the concept of [[Reynolds decomposition]] to obtain the turbulence signal from the total velocity | ||
* Estimate the background mean flow past the sensor | * Estimate the background mean flow past the sensor | ||
Revision as of 19:32, 29 October 2021
Once the raw data has gone through QA/QC, then you must:
- Split the time series into shorter segments by considering:
- time and length scales of turbulence
- stationarity of the segment
- Taylor's frozen turbulence hypothesis, etc ...
- Determine how (or if at all) you should replace missing samples
- Rotate the measurements into the frame of reference of the mean flow
- Use the concept of Reynolds decomposition to obtain the turbulence signal from the total velocity
- Estimate the background mean flow past the sensor
