Replacement strategies for missing velocities: Difference between revisions
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Quality-control of raw velocities results in data loss, which | 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=== | |||
Revision as of 00:04, 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
