Replacement strategies for missing velocities

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Quality-control of raw velocities results in data loss, which usually must be replaced before computing the spectra necessary for obtaining <math>\varepsilon</math>. Several techniques were considered for replacing the missing samples:

• Linear interpolation
• Using the variance of the signal
• Unevenly spaced least-square Fourier transform (i.e., no replacement at all)

The number of missing samples that can be tolerated for computing reliable spectra was also investigated.

Data analysis tests

Considerations

• Trialed the above-mentioned replacement strategies for differing
  • Number of missing samples to identify a threshold where the segment should be completely discarded from further analysis
  • Gap duration i.e., randomly missing samples vs continuous chunks of data loss

Results

Insert graphs with example spectra for different tests