Windowed Fourier Analysis for Signal Processing on Graph Bundles
T. Mitchell Roddenberry (Rice University); Santiago Segarra (Rice University)
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We consider the task of representing signals supported on graph
bundles, which are generalizations of product graphs that allow for
"twists" in the product structure. Leveraging the localized product
structure of a graph bundle, we demonstrate how a suitable partition
of unity over the base graph can be used to lift the signal on the
graph into a space where a product factorization can be readily
applied. Motivated by the locality of this procedure, we demonstrate
that bases for the signal spaces of the components of the graph bundle
can be lifted in the same way, yielding a basis for the signal space
of the total graph. We demonstrate this construction on synthetic
graphs, as well as with an analysis of the energy landscape of
conformational manifolds in stereochemistry.