Jun 11, 2016 · Linear interpolation is almost as fast but gives jagged slopes. Cubic interpolation is slower, but gives nice slopes and is acceptable for large data sets.

There are many approaches to realize interpolation. Padding zeros in the high frequency band of a real sequence results in interpolation in time domain. For.

Abstract: A fast algorithm for computing the optimal linear interpolation filter is developed. The algorithm is based on the Sherman-Morrison inversion ...

The Nearest Point interpolation method is the fastest of all the interpolation methods when used with point data (fig. 19). If used with line or polygon data it ...

Mar 25, 2021 · The Tinfour open-source software library implements a fast and accurate algorithm for Natural Neighbor Interpolation.

Nov 16, 2021 · Polynomial interpolation can be done via multiplying a Vandermonde matrix (or its inverse) by your coefficient/evaluation vector.

Aug 29, 2017 · Take a known set of points, use that to interpolate a function, and then evaluate that interpolated function at another set of points.

Fast algorithms based on Empirical Interpolation Methods for selecting best projections in Sparse-View X-ray Computed Tomography using a priori information.

There are many approaches to realize interpolation. Padding zeros in the high frequency band of a real sequence results in interpolation in time domain.

Jun 8, 2021 · The simplest solution is to use something which can be vectorized. eg. ynew = function(xnew);simps(ynew,xnew) This is much faster, but depending ...