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Keeping the reference frame being inertial results in simpler mathematical derivation to the governing equation which includes one dyadic product of velocity vectors in the convective term, whereas the previous [2], [3] needs to obtain the time derivative with respect to non-inertial frames causing an additional dyadic product in the convective term.
It is easy to extend the derivation to the case of several parameters.
In order to ease the analysis, we limit our derivation to the MIMO case (see Figure 1(b)), where both the transmitter and the receiver use only two antennas.
In order to highlight the rationale of noise injection (and so noisy training), we reproduce the formulation and derivation in [32] but migrate the derivation to the case of cross-entropy cost which is usually used in classification problems such as ASR.
Considering the general model, we follow an analogous derivation to the above.
Table 1 ▸ compares two common methods of derivation to the GRG method for the 90 ions.
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In later sections, derivations to the model are defined to analyze the effects of imperfect CSI and mobility on system performance.
The somatoform disorders are an excluding diagnosis that forces to carry out a significant number of complementary tests and derivations to the second and third level.
Appendix 5 describes the derivation to this general condition.
The assumption of independent shadow fading of the two links is utilized in the derivation to decouple the joint probability into a product of marginal probabilities.
Figure 3 The block diagram with additional gain block used for the derivation to recast the smoother as a position estimator.
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