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The analytical derivation of parameters of the Markov model employs the existing path loss models for the first detected path and total multipath received power in the same office environment.
The restriction on colors guarantees that the detected path is a simple path.
In order to test for the null hypothesis that the detected path is obtained by chance, we calculated the p-values.
We first tried to detect a path by using a window length that is equal to the length of detected path.
However, there is not any rigorous way to define when the network is harvested, so we took a heuristic approach by assuming that the network is harvested if we come up with 50 consecutive iterations in which the detected path is previously detected.
A p-value for the null hypothesis that the detected path is obtained by chance was defined by comparing its score to the random distribution.
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However RMS delay time does not show the same characteristic, as the contribution of newly detected paths declines as the threshold increases [21].
where N p is the number of the detected paths between the track-side BS and the wireless gateway on the train, α n, Ф n, Δf n, and τ n are the averaged fading amplitude, phase shift, Doppler frequency shift, and time delay corresponding to the n th path, respectively.
We can see some interesting observations regarding the genes that were involved in our detected paths.
To better understand the paths detected by EMPath in the context of known pathways, we assessed the functional enrichment of detected paths similarly as previously described [8].
Column 6: The number of detected paths.
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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