Replacement strategies for missing velocities: Difference between revisions
From Atomix
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== Data analysis tests == | == Data analysis tests == | ||
===Considerations=== | ===Considerations=== | ||
* Trialed the above mentioned replacement strategies for differing | * 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 | ** 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 | ** Gap duration i.e., randomly missing samples vs continuous chunks of data loss | ||
Revision as of 00:06, 4 July 2022
Quality-control of raw velocities results in data loss, which usually must be replaced before computing the spectra necessary for obtaining [math]\displaystyle{ \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
