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Score and threshold were computed with the Transfac Matrix Database (v7.0), created by Biobase, and are currently found on the UCSC genome web browser (HMR Conserved TFBS, we called "set 1", Figure 1).
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In order to show a comparison of the spectrum usage as a function of the variables mentioned above, an optimum threshold is computed using Otsu's gray-level thresholding algorithm [11] for each of the datasets.
Threshold is computed using the table of chi-square distribution with one degree of freedom.
Variable threshold is computed by adding the timeout to a factor defined by the user.
Threshold is computed using the masked cover image and length of the augmented message.
The noise threshold is computed from each measurement based on a dynamic noise clipping.
The threshold is computed based on the data files saved in the database.
A probability is computed for each training example, and the threshold is computed according to these probabilities.
Then, the contrast detection threshold is computed based on the CSNR, which is done for each octave band.
The masking threshold is computed from the short-term power spectral density estimate of the input signal.
For each peak (in the image only the first peak is treated as example), the distance between the two points of intersection with the fixed threshold is computed.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com