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The robustness of the automated cochlear coordinate system estimation is validated with synthetic and real data.
As mentioned before, the system estimation is provided by the vertex-1 centre of top-k anchors.
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Therefore, design time system vulnerability estimation is of paramount importance.
Distribution system state estimation is a fundamental tool for the management and control functions envisaged for future distribution grids.
On-line system parameter estimation is combined with an appropriate parametric test decision for robust detection and confirmation of faults.
To get rid of single or multiple network parameter errors, a methodology that combines genetic algorithms and power system state estimation is proposed.
The design of metering plans for power system state estimation is a classical, complex, combinatorial optimization problem, many times solved by a family of metaheuristic algorithms.
The problem of system parameter estimation is computationally expensive and can easily be trapped in local minima.
In wireless systems, channel estimation is required for the compensation of channel distortions.
Thus, for time-varying delay systems, the estimation is not possible, because the search space is asymptotically reduced to a single point.
For multicarrier modulation systems, the estimation is usually performed by sending a training data sequence, called pilot tones, on a set of carriers known to the receiver.
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