The phrase "additional interpolation" is correct and usable in written English.
It can be used in contexts involving data analysis, programming, or any field where interpolation is relevant, indicating that more interpolation is being added to a process or dataset.
Example: "The model requires additional interpolation to improve the accuracy of the predictions."
Alternatives: "further interpolation" or "supplementary interpolation".
The transformed image does not require additional interpolation because the image comparison is later performed using regional-based techniques.
The CT data were anisotropic (interslice distance was more than twice the interpixel distance), but this was easily accommodated by the texture mapping hardware without additional interpolation.
In addition, we show that the application of the chosen Ghost-Cell Finite-Difference methods to the Navier Stokes problem, discretized by a pressure-correction method, requires an additional interpolation step.
In this case the characteristic square growth of fluctuations of the total energy with the step size, commonly measured in numerical tests, results from additional interpolation errors with no relation to the accuracy of the computed trajectory.
Thirdly, authors in [6] further add an additional interpolation level by modelling the part of in-sample pixel values that is not completely explained by the matte PTM model via a radial basis function (RBF) interpolation.
It also allows for the establishment of groups in 3D for which additional interpolation processes can be applied to further improve the precision of reconstruction.
Moreover, they require the additional computation overhead of extra interpolation calculation.
The purpose of robust regression is to (1) isolate the matte and specular/shadow components and allow the latter to be more cleanly modelled with an additional RBF interpolation stage and (2) identify the non-matte outliers so that more accurate surface normals as well as other reflectance properties can be obtained with LS.
Then these lines are put together to form the slices and from the slices the according 3D data volume is created after additional adequate interpolation to achieve a data space of isotropic resolution.
IRT Score corresponding was converted to each expected total scores (summed score) for each subscale of the PANSS to the Mini-PANSS subscales prior to the application of linear interpolation (see Additional file 1, Table S1, Additional file 1, Table S2, Additional file 1, Table S3 for Conversion Table).
The influence of this term can be such that an additional oversampling (or interpolations) of signal is required.
