Sentence examples for by the estimation process from inspiring English sources

Exact(5)

This pilot symbol is used to remove the scaling factor introduced by the estimation process.

The second criterion is the error generated by the estimation process of the value, also known as the empirical risk, which is to be minimized.

A virtual hub deflection (that mimics the actual measurement of the vertical hub deflection needed by the estimation process) is generated by the non-linear model of the plant.

A performance evaluation of the SFSM MIMO system is also carried out considering a zero forcing (ZF) receiver and a semi-blind alternating least squares (ALS) receiver that only requires a single pilot symbol per transmitted data stream in order to remove the scaling factor introduced by the estimation process.

As restricted by the estimation process, the means of the predicted values based on OLS were always the same as that of the observed values; but the median of the predicted values were larger than that of the observed ones.

Similar(55)

To account for the additional variability introduced by the two‐step nature of the estimation process and by estimating the IV, the estimates are bootstrapped (with 500 replications).

By incorporating these factors into the estimation process for induced land use emission, we can provide more accurate results.

By utilizing the SOM approach, the estimation process of the measures is significantly improved which results in more accurate outcome measures that can be used in various contexts including expert systems designed for auditors and investors.

We also employ a modified Tikhonov regularization routine with regularization parameter, λ, using a Levenberg-Marquardt iterative update which stabilizes the estimation process by reducing the effects of noise on the image reconstruction, and eliminating improbable solutions [ 2].

Fortunately, the prior parameter values documented by Zhang et al. stabilize the estimation process.

The estimation process is performed by solving an optimization problem based on minimizing the beamformer sensitivity and enforcing the estimate not to converge to any of the interference steering vectors.

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