Cubic convolution interpolation algorithm is one of the most widely used image interpolation methods. Compared with the linear interpolation, it has a more accurate result, but a lower interpolation ...

The mainstream interpolation algorithm assigns weights to channels based on the physical distance of the electrodes and does not take into account the effect of physiological factors on the EEG signal ...

Cubic spline interpolation on multidimensional grids in PyTorch. The primary goal of this package is to provide learnable, continuous parametrisations of 1-4D spaces.

cubic_interpolation A leightweight interpolation library based on boost and eigen. It provides the utilities to handle tables which are runtime intensive to build and reduces interpolation failures to ...

Besides bilinear and cubic spline interpolation, we tested the performance of two additional interpolation techniques (nearest-neighbor and piecewise-cubic-Hermite-polynomial interpolations). For a ...

In this paper, we derive two higher order multipoint methods for solving nonlinear equations. The methodology is based on Ostrowski’s method and further developed by using cubic interpolation process.