Segmenting datasets
From Atomix
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 background (mean) flow's frame of reference
- Use the concept of Reynolds decomposition to obtain the turbulence signal from the total velocity
- Estimate the background mean flow past the sensor
