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The CRB is a lower bound (LB) on the mean square estimation error (MSEE) of an unbiased estimate and can thus be used to benchmark practical estimation algorithms.
Furthermore, a practical estimation scheme is proposed for the estimation of all the unknown channel parameters.
Quantization of measurements arises in practical estimation systems where estimation algorithms are conducted on quantized data.
For practical estimation, we represented the difference as the ratio of two CBF values.
An important issue in the practical estimation of social effects relates to the definition and measurement of the network.
Consequently, both leakage current models can be equally utilised for practical estimation of magnetic fields due to dc railways.
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This means that, in practical estimations of magnetic fields caused by dc-electrified railways, both models are equally applicable.
Based on practical channel estimation error models, we are able to fully characterize the impact of channel estimation error in this article.
The residual coding process and coding a block for all MV candidates is still computationally intensive[9]; hence, practical motion estimation methods ignore the residual coding and determine the best MV using the available data during motion estimation process[12, 13].
The proposed observer ensures practical state estimation, while the corresponding dynamic controller ensures practical stabilization.
In practical, the estimation of nonlinear and non-Gaussian stochastic systems is more significant.
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