Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Zonglong He"'
Autor:
Hanjun Ma, Shibo Zhao, Yuxin Wei, Zonglong He, Qinling Wei, Xuewei Huang, Qi Wei, Liyu Su, Suoyi Huang
Publikováno v:
Current Research in Medical Sciences. 2:16-22
Objective: To investigate the in vivo anti-inflammatory, anti-fatigue, and hypertensive hypoxia tolerance effects of earth ginseng with motherwort and its combination on mice. Methods: Male mice were divided into 6 groups according to their body weig
Autor:
Ali Mirani, Kovendhan Vijayan, Shen Li, Zonglong He, Erik Agrell, Jochen Schröder, Peter Andrekson, Magnus Karlsson
Publikováno v:
Journal of Lightwave Technology. :1-8
Autor:
Zexin Chen, Zonglong He, Ali Mirani, Jochen Schroeder, Peter Andrekson, Magnus Karlsson, Meng Xiang, Yu Yu, Ming Tang, Yuwen Qin, Songnian Fu
Publikováno v:
Journal of Lightwave Technology. :1-10
Autor:
Zonglong He, Jinxiang Song, Kovendhan Vijayan, Christian Hager, Alexandre Graell i Amat, Henk Wymeersch, Peter A. Andrekson, Magnus Karlsson, Jochen Schroder
Publikováno v:
Journal of Lightwave Technology. 40:6168-6178
Autor:
Zonglong He, Jinxiang Song, Christian Häger, Alexandre Graell i Amat, Henk Wymeersch, Peter A. Andrekson, Magnus Karlsson, Jochen Schröder
Publikováno v:
Optical Fiber Communication Conference (OFC) 2022.
We demonstrate a pulse shaping filter enabled by machine learning for spectral superchannels. In contrast to a 1% roll-off root-raised cosine filter, our learned filter reduces the adaptive equalizer length by 47% for the same spectral efficiency.
Publikováno v:
Journal of Lightwave Technology. 38:1735-1746
Volterra nonlinear equalizers (VNLEs) are known to be effective in compensating for nonlinear distortions. However, the major drawback of these equalizers is the huge implementation and computation complexity. In this article, we propose and demonstr
Autor:
Alexandre Graell i Amat, Henk Wymeersch, Kovendhan Vijayan, Jinxiang Song, Peter A. Andrekson, Christian Häger, Magnus Karlsson, Zonglong He, Jochen Schröder
Publikováno v:
ECOC
We experimentally demonstrate a symbol-based nonlinear digital predistortion (DPD) technique utilizing supervised learning, which is robust against a change of modulation format. Back-to-back transmission of 30 Gbaud 32, 64 and 256QAM confirms that o
Autor:
Henk Wymeersch, Alexandre Graell i Amat, Jinxiang Song, Christian Häger, Zonglong He, Jochen Schröder, Magnus Karlsson
Publikováno v:
ECOC
We demonstrate, for the first time, experimental over-the-fiber training of transmitter neural networks (NNs) using reinforcement learning. Optical back-to-back training of a novel NN-based digital predistorter outperforms arcsine-based predistortion
Autor:
Peter A. Andrekson, Erik Agrell, Kovendhan Vijayan, Jochen Schröder, Zonglong He, Ali Mirani, Shen Li, Magnus Karlsson
Publikováno v:
ECOC
We experimentally demonstrate high-cardinality, low-complexity Voronoi constellations based on the E8 lattice over multiple time slots with OSNR and launch power gains of up to 1.7 and 2.4 dB for back-to-back and 80 km fiber transmission, respectivel
Publikováno v:
ECOC
We propose and experimentally investigate a novel reduced-size look-up table (LUT) for nonlinear transceiver impairment compensation by taking advantage of the inherent periodicity of the symbol pattern-dependent distortions.