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The modulation selection criterion based on the mean SNR estimation works close to the optimal one.
In this paper, we propose a new matching criterion based on MAD and BAD.
We used a criterion based on human relationships (social proximity): the trusted networks [28, 29].
This criterion based on the sum of weights of intra-cluster and inter-cluster.
Consequently, a stopping criterion based on the Morozov discrepancy rule is investigated and tested.
Here we choose a criterion based on the flow simulation results.
The feature selection criterion based on mutual information score is commonly adopted in literature.
Then a less conservative stability criterion based on LMIs was derived for stochastic neutral systems.
A new robustness criterion, based on the nearest border point of a cone, is proposed.
A new criterion based on single-atom potential energy variation was established[2].
The anomaly detection criterion based on wavelet packet transform and statistic process control theory was deduced.
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