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The robust control field achieves higher average photoassociation probabilities over the tested samples, in comparison with the probabilities achieved by the optimal field designed without using the sampling-based method.
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According to [17], the outage probability achieved by this system for every 1≤m≤2L is the same as the highest outage probability for each constraint in Equation (B.2).
A key research question in such sensor systems is to maximize the asymptotic event detection probability achieved in the system, in the presence of energy constraints and uncertainties.
The outage events occur when any constraint in Equation (B.2) is not met, and the highest outage probability achieved by each constraint is the dominant factor [22].
In this section, a detailed performance analysis is given in which the bit error probability achieved by the different equalization methods are compared with each other.
It can be seen that the decrease in outage probability achieved by increasing the shape parameter β and then the system becomes more reliable.
The retrieving probability achieves up to 76% among the top-5 matched.
Because of the small coding rate R c, the outage probability achieves a diversity order of three (Figure 2).
The capacity maximization procedure ends when both the new call blocking probability and forced call termination probability achieve their maximum acceptable values.
After comparing the results of the different back-end classifying algorithms, discriminative SVM classifier with pair-wise posterior probability achieves the most performance improvement.
Then, the minimum error probability achieves (p_{text {err}}^{min } = 0.18) and the optimal square zone length is (s_{g}^{text {Opt}} = 1.79r_{f}).
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