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The identity (6) allows us to estimate the probability p ijk using the estimates of (p^_{ijk}) which can be obtained from the observed counts (Barron 1977).
Using the estimates.
Using the estimates, a sliding mode controller is effectively employed for the matched uncertainties.
Calculate the relative bias and RMSE using the estimates and actual values. .
Compensation is then performed using the estimates of CFO and for the following OFDM blocks.
These indices were calculated, using the EstimateS 8.2 software (Colwell, 2009).
Using the estimates of previous Lemma we obtain the desired results.
Calculate the relative bias and RMSE using the estimates and actual values.
Then by using the estimates (3.13) and (3.15) we can prove the requested result (3.10).
Using the estimates of all immeasurable process and disturbance variables, a linear model predictive controller is applied.
Thus, by reasoning as in Theorem 3.3, and using the estimates established in Proposition 3.2, the result follows.
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CEO of Professional Science Editing for Scientists @ prosciediting.com