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

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 is on the...

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Detalles Bibliográficos
Autores principales: Sedov, Egor V., Freire, Pedro J., Seredin, Vladimir V., Kolbasin, Vladyslav A., Kamalian-Kopae, Morteza, Chekhovskoy, Igor S., Turitsyn, Sergei K., Prilepsky, Jaroslaw E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613238/
https://www.ncbi.nlm.nih.gov/pubmed/34819542
http://dx.doi.org/10.1038/s41598-021-02252-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613238/
https://www.ncbi.nlm.nih.gov/pubmed/34819542
http://dx.doi.org/10.1038/s41598-021-02252-9

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