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NIST · ИТ · 51b3cabd0e5b488d9ae3

51b3cabd0e5b488d9ae3 · Experimental comparison of performance monitoring using neural networks trained with parameters derived from delay-tap plots and eye diagrams

Experimental comparison of performance monitoring using neural networks trained with parameters derived from delay-tap plots and eye diagrams

We experimentally demonstrate the use of artificial neural networks trained with parameters derived from both delay-tap plots and eye diagrams for multi-impairment monitoring in a 40-Gbit/s non-return-to-zero on-off keying system.

Официальный источник · 2021-01-25

Полные импортированные сведения карточки
{
  "title_en": "Experimental comparison of performance monitoring using neural networks trained with parameters derived from delay-tap plots and eye diagrams",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2021-01-25",
  "date_original": "January 25, 2021",
  "url": "https://www.nist.gov/publications/experimental-comparison-performance-monitoring-using-neural-networks-trained-parameters",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Jeffrey Jargon , Xiaoxia Wu, Chih-Ming Wang , Alan Willner",
  "abstract_excerpt_en": "We experimentally demonstrate the use of artificial neural networks trained with parameters derived from both delay-tap plots and eye diagrams for multi-impairment monitoring in a 40-Gbit/s non-return-to-zero on-off keying system.",
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  "sources": [
    "NIST Publications"
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    {
      "title_en": "Experimental comparison of performance monitoring using neural networks trained with parameters derived from delay-tap plots and eye diagrams",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2021-01-25",
      "date_original": "January 25, 2021",
      "url": "https://www.nist.gov/publications/experimental-comparison-performance-monitoring-using-neural-networks-trained-parameters",
      "source": "NIST Publications",
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      "authors_en": "Jeffrey Jargon , Xiaoxia Wu, Chih-Ming Wang , Alan Willner",
      "abstract_excerpt_en": "We experimentally demonstrate the use of artificial neural networks trained with parameters derived from both delay-tap plots and eye diagrams for multi-impairment monitoring in a 40-Gbit/s non-return-to-zero on-off keying system."
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