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Neighborhood-Preserving Translations on Graphs
[article]
2016
arXiv
pre-print
In many domains (e.g. Internet of Things, neuroimaging) signals are naturally supported on graphs. These graphs usually convey information on similarity between the values taken by the signal at the corresponding vertices. An interest of using graphs is that it allows to define ad hoc operators to perform signal processing. Among them, ones of paramount importance in many tasks are translations. In this paper we are interested in defining translations on graphs using a few simple properties.
arXiv:1606.02479v1
fatcat:jmwyoiwa6ngd7lrvamnaalnbka