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For channel modeling, we consider the following model: H k, i = X k, i · 1 0 ( − PL / 10 ), (1).
To test the ability of the controller to deal with errors in modeling, we consider a servomechanism system characterized by nonlinear dynamics.
Within the context of HMM modeling, we consider two observation sequences similar if: (i) they fit each other's models; and (ii) they have similar Viterbi optimal paths [17].
To further explore the concept of mixture modeling, we consider that the 2nd cluster has a higher assigned prior and that the rest of the parameters remain the same (as in Table 1).
From the channel modeling, we consider that the (T,F) lattice should be adjusted best between 60 and 75 kHz for an isotropic design with T F=1.25 for guaranteed performance in many scenarios, especially in extreme high velocity cases (for reference, LTE uses 15 kHz with T F=1.07, IEEE 802.11p uses 156 kHz with T F=1.25).
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For numerical modeling, we considered a subsurface with a resistivity between 0.5 and 10 Ω m.
As a model example, we consider a weakly contractive condition.
The model we consider is as follows.
As detailed in Section System model, we consider a block-fading channel model.
The second feature of the model we consider is the constant, exogenous job destruction rate.
Figure 1 shows the ES (left) and EM (right) models we consider.
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