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In our two recent researches [10, 11], we have proposed MIMO-PNC schemes which use linear estimation in combination with mapping decision based on maximum likelihood and selective combining for PNC mapping.
In particular, time domain reflectometry (TDR) was deployed for soil moisture estimation in combination with geophysical investigations as electrical resistivity tomography (ERT) and ground penetrating radar (GPR).
Using the probability density distribution (PDD), wavelet analysis, and power spectral density (PSD) estimation, in combination with the dynamic image analysis of the gas liquid two-phase flow, a quantitative study of the gas liquid two-phase flow patterns of self-excited dust scrubbers was conducted.
Numerical experiments highlighted also the influence of the reliability of a priori information on the accuracy of resulting O-D estimation in combination with different information sets.
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Sahnoun et al. [8] address multi-dimensional modal estimation using sparse estimation techniques in combination with an efficient multigrid approach.
In this paper, a robust state of energy estimation method in combination with a physical model parameter identification method is proposed to achieve accurate battery state estimation at different operating conditions and different aging stages.
Its performance in terms of average location estimation error in combination with its simplicity and distributed operations hold great promise.
The proposed nonlinear controller exploits the concept of indirect field orientation (no flux estimation is required) in combination with a new high-gain speed estimator based on the torque current tracking error.
Methods have also been developed for the estimation of GLM in combination with other drugs simultaneously in pharmaceutical formulations by RP-HPLC techniques (Deepti et al. [2008]; Ravi et al. [2011]; El-Enany et al. [2012]).
Second, we will incorporate survival by disease stage into the estimation of prevalence in combination with years since diagnosis.
This volume estimation model was used in combination with actual measurements of brain volume to test hypotheses about progressive brain volume changes in the patients.
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