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This correlation model allows, at the end of treatment, to obtain indices statistically correlated to the fundamental measure.
Dynamic Conditional Correlation model by Engle (2002).
We instead consider the semiarbitrary correlation model.
This approach is known as the exponential correlation model [39].
Figure 2 reveals clearly that the semiarbitrary correlation model agrees well with the arbitrary correlation model for different antenna setups.
Potential additives were predicted from the correlation model.
Without loss of generality, the exponential correlation model is adopted, where the correlation model at both transmitting and receiving ends of both hops are assumed to be identical.
Hence, for a given sensing model, a spatial correlation model is not necessitated for sensor data.
An arbitrary spatial and temporal correlation model for STF-coded MIMO-OFDM was presented in [17].
We use the simple decreasing correlation model in[14] for shadow fading.
It is also the first to use a spatial-domain multi-patch correlation model.
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