Unsupervised classification of non-linear dynamics in optical fiber propagation using intensity clustering - Laboratoire Interdisciplinaire Carnot de Bourgogne
Article Dans Une Revue Physica D: Nonlinear Phenomena Année : 2025

Unsupervised classification of non-linear dynamics in optical fiber propagation using intensity clustering

Résumé

We demonstrate that centroid-based clustering of normalized intensity profiles is able to successfully isolate different classes of pulses associated with physically distinct regimes of nonlinear and dispersive propagation in optical fiber. Remarkable for its simplicity, this approach shows how analysis of only the temporal intensity profiles of propagating pulses, even at relatively limited sampling resolution, reveal sufficient similarities to allow physical classification of different classes of propagation behavior.
Fichier principal
Vignette du fichier
Clustering vf.pdf (1.66 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
licence

Dates et versions

hal-04698215 , version 1 (15-09-2024)

Licence

Identifiants

Citer

Anastasiia Sheveleva, Andrei Ermolaev, J.M. Dudley, Christophe Finot. Unsupervised classification of non-linear dynamics in optical fiber propagation using intensity clustering. Physica D: Nonlinear Phenomena, 2025, 472, pp.134502. ⟨10.1016/j.physd.2024.134502⟩. ⟨hal-04698215v1⟩
31 Consultations
24 Téléchargements

Altmetric

Partager

More