Neural networks for computing and denoising the continuous nonlinear Fourier spectrum in focusing nonlinear Schrödinger equation

Abstract We combine the nonlinear Fourier transform (NFT) signal processing with machine learning methods for solving the direct spectral problem associated with the nonlinear Schrödinger equation. The latter is one of the core nonlinear science models emerging in a range of applications. Our focus...

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Autores principales: Egor V. Sedov, Pedro J. Freire, Vladimir V. Seredin, Vladyslav A. Kolbasin, Morteza Kamalian-Kopae, Igor S. Chekhovskoy, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/90fe5d2116484d4981a9d40767e509f4
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