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.
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De Rossi A., Cavoretto R., Erb W. (2022) "GBFPUM - A MATLAB Package for Partition of Unity Based Signal Interpolation and Approximation on Graphs
", Dolomites Research Notes on Approximation, 15(2), 25-34. DOI: 10.14658/PUPJ-DRNA-2022-2-3
Year of Publication
2022
Journal
Dolomites Research Notes on Approximation
Volume
15
Issue Number
2
Start Page
25
Last Page
34
Date Published
10/2022
ISSN Number
2035-6803
Serial Article Number
3
DOI
10.14658/PUPJ-DRNA-2022-2-3
Issue
Section
SpecialIssue