Unsupervised classification of non-linear dynamics in optical fiber propagation using intensity clustering
Abstract
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 fiber propagation. Remarkable for its simplicity, this approach shows how only temporal intensity profiles reveal sufficient similarities to allow physical classification of different propagation behavior.
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