Wavelets and graph $C^*$-algebras
Carla Farsi, Elizabeth Gillaspy, Sooran Kang, Judith Packer

TL;DR
This paper surveys the connection between wavelet theory and graph $C^*$-algebras, introduces new generalizations of wavelets for higher-rank graphs, and explores potential applications in network traffic analysis.
Contribution
It presents novel methods for constructing wavelets of arbitrary shapes and extends spectral graph wavelets to higher-rank graphs, broadening the theoretical framework.
Findings
Introduction of cubical wavelets for higher-rank graphs
Construction of wavelets of arbitrary shapes
Extension of spectral graph wavelets to higher-rank graphs
Abstract
Here we give an overview on the connection between wavelet theory and representation theory for graph -algebras, including the higher-rank graph -algebras of A. Kumjian and D. Pask. Many authors have studied different aspects of this connection over the last 20 years, and we begin this paper with a survey of the known results. We then discuss several new ways to generalize these results and obtain wavelets associated to representations of higher-rank graphs. In \cite{FGKP}, we introduced the "cubical wavelets" associated to a higher-rank graph. Here, we generalize this construction to build wavelets of arbitrary shapes. We also present a different but related construction of wavelets associated to a higher-rank graph, which we anticipate will have applications to traffic analysis on networks. Finally, we generalize the spectral graph wavelets of \cite{hammond} to…
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Taxonomy
TopicsSparse and Compressive Sensing Techniques · Advanced MRI Techniques and Applications · Medical Imaging Techniques and Applications
