GBFPUM - A MATLAB Package for Partition of Unity Based Signal Interpolation and Approximation on Graphs
| Title | GBFPUM - A MATLAB Package for Partition of Unity Based Signal Interpolation and Approximation on Graphs |
| Publication Type | Journal Article |
| Year of Publication | 2022 |
| Authors | Cavoretto, R, De Rossi, A, Erb, W |
| Journal | Dolomites Research Notes on Approximation |
| Volume | 15 |
| Issue | 2 |
| Pagination | 25-34 |
| Date Published | 10/2022 |
| Publisher | Padova Univeristy Press |
| Place Published | Padova |
| ISSN Number | 2035-6803 |
| Abstract | This is a manual for the software package GBFPUM, a MATLAB toolbox for the generation of a partition of unity on graphs and their application as an interpolation and approximation tool for graph signals. GBFPUM combines local kernel approximation based on graph basis functions (GBFs) with a partition of unity method (PUM) in order to obtain a low-cost global interpolation or classification scheme for large graphs. We give a detailed description of all the routines implemented in the MATLAB package and show how the code can be used to interpolate graph signals in concrete examples. |
| URL | http://drna.padovauniversitypress.it/2022/2/3 |
| DOI | 10.14658/pupj-drna-2022-2-3 |
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