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There are two scenarios in determining the mean powers of x, y i, and z j.
Furthermore, we assume the channel to be passive, that is, the sum of the mean powers of all channel coefficients is equal to unity,.
For the considered syllable subset, the average of the mean powers of all 51 syllables resulted in a SNR of 15 dB.
Similar(57)
The mean power of speech was made equivalent to the mean power of the overlapping AE.
Correspondingly, the mean power of the useful channel yields (52).
It is assumed that the mean power of each interfering user is equal to the mean power of the desired signal.
Then, as, the mean power of the useful signal at subcarrier amounts to.
The mean power of the interfering channel per subcarrier amounts to (51).
where En is the power of spectral peak, and Emean is the mean power of the 22 segment signals.
where P sat and P avg denote the input saturation power and mean power of the input signal, respectively.
Setting the object amplitude A, the SNR can be defined as the ratio between the mean power of the object echo and the mean power of the background echo: mathrm{S}mathrm{N}mathrm{R}=20{ log}_{10}left(frac{left|A-{mu}_Bright|}{sigma_B}right) (5).
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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