Many papers, examples, and tutorials on interpolation with Radial Basis Functions (RBF) are understandably aimed at mathematicians, computer scientists, and mathematically inclined developers.

Abstract: Interpolation of scattered data is crucial across various domains, and neural networks have proved effective in developing accurate interpolators. While these neural network-based approaches ...

Reference:S. K. Narang, A. Gadde and A. Ortega, "Signal processing techniques for interpolation in graph structured data," 2013 IEEE International Conference on ...

Abstract: In this paper, we propose a novel image interpolation algorithm via graph-based Bayesian label propagation. The basic idea is to first create a graph with known and unknown pixels as ...

Excel is probably Microsoft’s most popular developer tool. With a built-in functional programming language that now supports lambdas and variables, Excel has become a tool that people build businesses ...

In this paper, we propose a novel image interpolation algorithm via graph-based Bayesian label propagation. The basic idea is to first create a graph with known and unknown pixels as vertices and with ...

Local activation time (LAT) mapping of cardiac chambers is vital for targeted treatment of cardiac arrhythmias in catheter ablation procedures. Current methods require too many LAT observations for an ...

Fractal interpolation function (FIF) is a special type of continuous function which interpolates certain data set and the attractor of the Iterated Function System (IFS) corresponding to a data set is ...