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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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