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Our contribution is to specify and implement an "estimator" able to play and record business scenarios to estimate both the power consumption and the autonomy of the nodes.
Finally, we build the estimator able to playback the scenarios and give the total energy consumption per node (see Section 5).
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The frequency estimator is able to estimate the frequency correctly when the ship is experiencing parametric roll resonance and when the resonance has damped out.
ReliefF, a general and successful attribute estimator, is able to effectively provide quality estimates of attributes in problems with dependencies between attributes.
The proposed channel parameter estimator performs multipath mitigation in two ways: First, the maximum-likelihood estimator is able to take all relevant multipath components into account in order to minimize the modeling error.
The state estimator is able to process the measurement signal thus providing estimates of the state variables that in this problem are slug velocity and casinghead pressure.
Our goal was then to ensure that our RTT estimator is able to adjust to high variability conditions and yield accurate RTT estimates.
In particular, we show that a CS-based DOA estimator is able to guarantee the super-resolution property, typical of the adaptive estimation algorithms.
Furthermore, it can be seen that the estimator is able to track the temporal changes.
This study has shown that the proposed NPEKF estimator is able to supply the AFC with reliable required acceleration.
The proposed estimator is able to recover the TOA information even when the clocks of readers and tags are asynchronous.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com