Abstract
Leveraging tools from graph signal processing and work on Lagrangian coherent structures, we introduce a graph-based scale transform that is fully Lagrangian and based on the transport properties of the flow. Applying this tool to several different flows, we are able to assess the dynamic consequences of kinematic coherence in a variety of contexts. This approach allows us to extend traditional Eulerian techniques (filtering, compression) to the analysis of Lagrangian quantities.
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