Persistent Homology as a Descriptor of Noisy Time Series

Dr. Camille Roux

doi:DOI: 10.4201/wale.a8.61

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Persistent Homology as a Descriptor of Noisy Time Series — Wale Lab Nexus

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Open accessPublished 15 August 2026DOI: 10.4201/wale.a8.61

Persistent Homology as a Descriptor of Noisy Time Series

Persistent Homology as a Descriptor of Noisy Time Series. Seeded research record for the Wale Lab Nexus repository.

Dr. Camille Roux · Applied MathematicsEdited by the Wale editorial desk

589downloads4,123views2026version of record

Downloads are watermarked and logged·Licensed CC BY 4.0·10.4201/wale.a8.61

Abstract

Persistent Homology as a Descriptor of Noisy Time Series. Seeded research record for the Wale Lab Nexus repository.

The record summarizes the methods, findings, and limitations available in this version of the publication. Readers can cite the metadata and abstract while access rights determine whether the watermarked full text can be downloaded.

Applied MathematicsPersistentHomologyDescriptorNoisy

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Dr. Camille Roux (2026). Persistent Homology as a Descriptor of Noisy Time Series. Wale Lab Nexus, 4(a8). https://doi.org/10.4201/wale.a8.61

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