Your English writing platform
Discover LudwigSuggestions(1)
Exact(3)
where σ 2 denotes thermal noise variance, the second term models the receiver impairment characteristics and is a monotonically increasing function of received signal, defined as nu(x)=frac{k_{3}}{100}x quad left[sqrt{mathbf{mW}}right] (6). in which k 3 is a model parameter and equals EVM %.
In fluid models, the receiver of interested is placed within a ring, which represents a round shaped network around a central cell, as illustrated in Fig. 5 f and investigated in [5 7, 158, 166, 167].
(4) { sensitivity = TP TP + FN specificity = TN TN + FP accuracy = TP + TN TP + TN + FP + FN After that, in order to further evaluate the performance of models, the receiver operating characteristic curves were constructed for the 5 different models, and the area under curve (AUC) was used as a statistic measurement to assess the power of each model to distinguish TFBSs.
Similar(57)
If, in contrast, the internal oscillator of the receiver is replaced by a stable atomic clock one can try to model the receiver clock offset, instead of estimating it on an epoch-by-epoch basis.
'True model': the receiver knows exactly this model, 'Blind model': the receiver uses arbitrarily his printing process to model it, and 'Est.
model': the receiver estimates the opponent channel using N o = 2,000 observations.
In TS model, the receiver switches to energy harvesting mode or information mode within one transmission period.
In PS model, the receiver splits the power into two parts with some ratios of which one part is used for information decoding and another part is used for energy harvesting.
In this model, the receiver filter's frequency response (B R (f,Fc,r) in (2)) is assumed to be identical to the DSSS TSM and is given in (5) (B R (f,Fc,r) = TSM (f,Fc,r)).
Also, for each binary model, the receiver operator characteristic curves were constructed and the area under the curve was used to summarise the overall performance of the regression model.
We measure the performance of the models using the receiver operating characteristic (ROC) curve [46].
Write better and faster with AI suggestions while staying true to your unique style.
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