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Selecting embedding delays: An overview of embedding techniques and a new method using persistent homology

Eugene Tan, Shannon Alga, Débora Corrêa, Michael Small, Thomas Stemler and David Walker

This paper has three main objectives.

  1. First, to provide a simple overview of the challenges of selecting good embedding parameters.
  2. Second, to collate and compare the various popular methods across the dynamics-topology spectrum that have been proposed to tackle the problem of embedding parameter selection. We will focus on the particular case of optimizing time delay embedding.
  3. Finally, to present a different approach based on the growing field of persistent homology—the significance score—that attempts to incorporate both dynamical and topological arguments into selection of embedding parameters.

Publication: Chaos 33, 032101 (2023)
DOI: 10.1063/5.0137223