Sentence examples for estimator against from inspiring English sources

Additionally, the sensitivity of the proposed estimator against inaccuracy of β iik by using an estimate (beta _{iik} = beta _{iik}left (1 + mathcal {N}left (0,sigma ^{2}right)right)) is investigated.

A robustification technique to protect the resulting Bayes estimator against miscoded observations is also designed.

Later, some numerical results are presented in order to support the effectiveness of the proposed estimator against the well-known linear estimators.

The robustness of the estimator against variations in the synaptic gains of the neuronal populations and disturbances in the input and measurement is studied.

Sometimes both OPT098 and OPT093 give a smaller error, e.g., for F 1, which also is smaller than the error given by the ARopt, which is an indication of the robustness of the estimator against the choice of model.

On the other hand, as increases to, which corresponds to about 190 km/h mobile terminal speed, the BER performance with severely degrades since the tracking ability of the channel estimator against the channel time selectivity is lost.

We now compare the performance of ML, LS, and Stansfield estimators against the CRB derived in section 4.1, and we study their evolution with the sensor number M. To this purpose, we consider the position RMSE computed as the square root of the average square error 휖 x P 2 = ∥ x ̂ P − x P ∥ 2 over multiple iterations and random sensor positions.

They are shown to improve the estimators' robustness against outliers or impulsive noises.

Simulation results show that the online estimator can operate against the measurement noise, and the sliding controller can keep relevant outputs within their limits despite slow-response sensors.

In addition, in order to combat reverberation more effectively, the MI of multichannel outputs is modified to embed information about reverberation, which helps to improve the estimator's robustness against reverberation.

However, it has been shown in [8, 10] that employing more than two sensors can significantly improve the estimator's robustness against noise and reverberation by taking advantage of the available redundant information.