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The optimization involves selecting appropriate false-alarm detection tradeoffs (operating points) for each classifier to minimize an end-to-end misclassification penalty, while satisfying resource constraints.
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(a) End-to-end delay.
A mathematical model of JSCC to minimize the end-to-end video distortion over multiple wireless channels.
Detailed theoretical analysis shows that the algorithm can minimize the end-to-end delay and make a fair scheduling to all the links.
The usual goal to design an index assignment for noisy channels is to minimize the end-to-end MSD over all possible index assignments.
The problem is formulated and solved as to find the optimal combination of parameters to minimize the end-to-end expected video distortion constrained by a given video playback delay, or to minimize the video playback delay constrained by a given end-to-end video distortion.
Based on the derived BER, the problem of choosing an optimal threshold or jointly optimal threshold and power allocation to minimize the end-to-end BER is also investigated.
This minimum value of is selected in order to minimize the end-to-end delay.
In this article, the goal of optimization is to minimize the end-to-end delay.
The thresholds employed at the relays are investigated to minimize the end-to-end BERs.
This data fusion rule was shown to minimize the end-to-end probability of error of the overall system.
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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.
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