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The same result applies to the decoding-based fusion rule presented in this section.
The simplified detection rule presented in Eq. (11) has as input a set of indicators calculated from the ( {mathbf{cells}}_{boldsymbol{i}}^{mathbf{imp}} ).
Figure 18 shows the delay introduced by the evaluation of a policy based on the history rule presented in Fig. 6.
Specifically, the curve of 'OPT LIN' shows the optimal linear CSS scheme proposed in [13], 'OPT LRT' shows the LRT-based optimal fusion rule presented in [11], and 'SINGLE' shows the situation of single SU spectrum sensing.
On the other hand, the decoding-based fusion rule presented in this paper is novel and offers an attractive performance-complexity tradeoff when compared to the simple energy-based fusion rule or the optimum fusion rule in[1].
In the rule presented in Fig. 5, the conjunction of atoms in lines 1 to 3 hold if there is an individual CoS containing a QoS specification using the OWD and PLR parameters (therefore, allowing its mapping to a MOS score).
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This paper extends the linguistic rules presented in [11,12].
This feature is exemplified by the set of rules presented in the previous section.
Here we used the functional derivative rules presented in the Appendix.
These commands are based on the rules presented in Table 3.
Design rules presented in Eurocode 5 are also discussed and compared with the proposed calculation method.
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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