Sentence examples for transformation to correct from inspiring English sources

Both positions were necessary for offset correction and coordinate transformation to correct for possible orientation errors of the sensor.

Following common practice, we rescale the original values of income by a natural log transformation to correct for skewness.4 As discussed above, individual income is affected by both micro-level factors such as sociodemographics as well as human and political capital, and macro-level factors such as region and industry characteristics.

"We who have taken to the streets seeking justice and liberation know that we need deep transformation to correct the larger institutional problems of racial profiling, abuse, and violence".

Functional images were corrected for slice acquisition time, realigned to the first image using an affine transformation to correct for small head movements and EPI distortions unwarped using B0 field maps.

We applied a 12 parameter affine transformation to correct for image size and position.

Realignment registers each image in the time series to a mean image using a rigid-body transformation to correct for head movement.

EPIs were sinc-interpolated in time to adjust for slice time differences and realigned to the first scan by rigid body transformations to correct for head movements.

The EPI images were sinc interpolated in time to correct for slice-time differences and realigned to the first scan by rigid-body transformations to correct for head movements.

The EPI images were sinc interpolated in time for correction of slice timing differences and realigned to the first scan by rigid body transformations to correct for head movements.

Conceptually, the correction necessary to remove the bias due to stimulus asymmetries is analogous to the transformation used to correct the bias due to stimulus correlations.

Comparisons between D KL and factors such as phyla, AT content, DNA sequence size, etc. were carried out using linear regression with transformations applied to correct for non-normality where needed.