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.

GBFPUM - A MATLAB Package for Partition of Unity Based Signal Interpolation and Approximation on Graphs

Erb W.
2022

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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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3463802
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