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Accordingly, a visual odometer has been implemented for estimation of six ego-motion parameters by solving a set of equations fitted with a number of feature points using the linear least square method.
EPI version 6.2 was implemented for estimation of the χ2 value, odds ratios and 95% confidence intervals for genotypic and allelic frequencies.
Gibbs sampling based on posterior distributions conditional on other effects was implemented for estimation by averaging the samples from 10,000 cycles, after discarding the first 1,000.
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The proposed model has been implemented for egomotion estimation on an autonomous mobile robot.
The proposed method can also be implemented for accurate estimation of dynamic variations in the amplitude and phase angles of the harmonics and inter harmonics mixed with high noise conditions.
A single Kalman filter (KL) and our framework of the Kalman filter and the least-square filter (KLLS) are implemented for the estimation of kinematic function.
The FOCE method was implemented for the estimation of the different parameters.
The tracking differentiator is designed to generate smooth transient profiles for the references, and the extended state observer/predictor is implemented for lumped disturbance estimation and state estimation considering the input delays.
A plate map model is implemented for the direct estimation of the gradients.
This algorithm has already been successfully implemented for impulsive noise estimation and cancellation in digital subscriber lines (DSL) [19].
A time-step procedure was implemented for the correct estimation of the deformative behaviour of pre-stressed elements in visco-elastic range.
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