Sentence examples for measurement correction from inspiring English sources

In a previous work [26], the effect of severe NLOS was corrected from the range estimates applying the prior NLOS measurement correction (PNMC) technique [34] with dynamic estimation of the NLOS parameters [35].

In-situ measurements of atmospheric extinction as well as measurement correction methods have been recently performed and developed (Hanrieder et al., 2012, 2015), but specific information is unavailable for individual plant projects.

We consider the relationship between conventional reference measurement correction and approximation error modelling in reconstruction.

Introducing the reference measurement correction we find This is a multiplicative zeroth order correction.

We considered the relationship between conventional reference measurement correction and the approximation error modelling in DOT reconstruction.

Reconstructions were calculated using three different approaches: the reference measurement correction (RM), the approximation error using first order statistics (EM-1), and the approximation error using second order statistics (EM-2).

It is known that in the reflection geometry, the absorption corrected factor does not depend upon the diffraction angle; therefore in a relative measurement corrections were unnecessary.

Although significant work has been done on the measurement corrections for a variety of filter-based absorption instruments, there is still variable quality of b Abs measured by filter-based methods compared with a b Abs standard, such as the photo-acoustic method (e.g., [ 96, 97]), the difference of extinction and scattering method (e.g., 64, 96]), or the MAAP [ 66, 69, 97].

The paper systematically demonstrates the usefulness of a simple approach for practical application that has a potential to become a standard method for permeability-measurement correction in the laboratory.

To address the significant potential for bias in the self-reporting of height and weight measurements, correction equations based on 2007 2008 Australian national survey data [ 16] were applied to self-reported height and weight indices for ARMHS participants before BMI was calculated.

To address the potential for bias in self-reporting height and weight measurements, correction equations were used based on 2007 2008 Australian national survey data [ 47], which adjusts for known biases in self-reported height and weight by participant age and gender.