Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Fast Eigenvalue Evaluation of the Direct Zakharov-Shabat Problem in Telecommunication Signals Using Adaptive Phase Jump Tracking. / Chekhovskoy, I. S.; Medvedev, S. B.; Vaseva, I. A. et al.
2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. Paper CI-P.2 (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Fast Eigenvalue Evaluation of the Direct Zakharov-Shabat Problem in Telecommunication Signals Using Adaptive Phase Jump Tracking
AU - Chekhovskoy, I. S.
AU - Medvedev, S. B.
AU - Vaseva, I. A.
AU - Sedov, E. V.
AU - Fedoruk, M. P.
N1 - Funding Information: Fig. 1 The OFDM signal (a), the corresponding discrete spectrum (b). The use of an adaptive step size made it possible to reduce by approximately 3 times the running time of the algorithm in comparison with the PJT with a constant step and increased its accuracy in regions where discrete eigenvalues are close to each other. Moreover, PJT is one order of magnitude faster than the contour integral method and FNFT for considered computational grid sizes. This work was supported by the Russian Science Foundation (grant No. 17-72-30006). The work of I.S.Ch. was supported by the state funding program FSUS-2020-0034. Publisher Copyright: © 2021 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - The inverse scattering transform (IST) allows to integrate the nonlinear Schrödinger equation (NLSE) equation analytically [1] and consists of three main steps: the first step is solving the direct Zakharov-Shabat problem (ZSP) to determine scattering data, the second is an evolution of the scattering data, and the third step is solving the inverse scattering problem to restore a solution from the scattering data. This method, also known as the nonlinear Fourier transform (NFT), has recently attracted much attention in areas where NLSE is used to describe various types of optical signals such as lasers and telecommunications.
AB - The inverse scattering transform (IST) allows to integrate the nonlinear Schrödinger equation (NLSE) equation analytically [1] and consists of three main steps: the first step is solving the direct Zakharov-Shabat problem (ZSP) to determine scattering data, the second is an evolution of the scattering data, and the third step is solving the inverse scattering problem to restore a solution from the scattering data. This method, also known as the nonlinear Fourier transform (NFT), has recently attracted much attention in areas where NLSE is used to describe various types of optical signals such as lasers and telecommunications.
UR - http://www.scopus.com/inward/record.url?scp=85117597037&partnerID=8YFLogxK
UR - https://elibrary.ru/item.asp?id=47515736
U2 - 10.1109/CLEO/Europe-EQEC52157.2021.9542265
DO - 10.1109/CLEO/Europe-EQEC52157.2021.9542265
M3 - Conference contribution
AN - SCOPUS:85117597037
T3 - 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021
BT - 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021
Y2 - 21 June 2021 through 25 June 2021
ER -
ID: 34537996