Table 6.

Features based on wavelet analysis and the Lomb–Scargle periodogram used in the RF algorithm.

Feature Description
wa_ periodPeriod from wavelet analysis.
s_ perWidth of the Gaussian fit to the period peak in wavelet analysis.
std_ flatStandard deviation of the flattened wavelet analysis.
wa_stdStandard deviation of the power spectrum from wavelet analysis.
pgram_stdStandard deviation of the Lomb–Scargle periodogram.
Feature Description
wa_ periodPeriod from wavelet analysis.
s_ perWidth of the Gaussian fit to the period peak in wavelet analysis.
std_ flatStandard deviation of the flattened wavelet analysis.
wa_stdStandard deviation of the power spectrum from wavelet analysis.
pgram_stdStandard deviation of the Lomb–Scargle periodogram.
Table 6.

Features based on wavelet analysis and the Lomb–Scargle periodogram used in the RF algorithm.

Feature Description
wa_ periodPeriod from wavelet analysis.
s_ perWidth of the Gaussian fit to the period peak in wavelet analysis.
std_ flatStandard deviation of the flattened wavelet analysis.
wa_stdStandard deviation of the power spectrum from wavelet analysis.
pgram_stdStandard deviation of the Lomb–Scargle periodogram.
Feature Description
wa_ periodPeriod from wavelet analysis.
s_ perWidth of the Gaussian fit to the period peak in wavelet analysis.
std_ flatStandard deviation of the flattened wavelet analysis.
wa_stdStandard deviation of the power spectrum from wavelet analysis.
pgram_stdStandard deviation of the Lomb–Scargle periodogram.
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