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NIST · ИТ · 8c948260a1b6d86b7d1c

8c948260a1b6d86b7d1c · Optical performance monitoring of (Q)PSK data channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams

Optical performance monitoring of (Q)PSK data channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams

We demonstrate a technique of using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams for optical performance monitoring of phase shift keying (PSK) data signals. We show that asynchronous diagrams from

Официальный источник · 2011-02-15

Полные импортированные сведения карточки
{
  "title_en": "Optical performance monitoring of (Q)PSK data channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2011-02-15",
  "date_original": "February 15, 2011",
  "url": "https://www.nist.gov/publications/optical-performance-monitoring-qpsk-data-channels-using-artificial-neural-networks",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Jeffrey A. Jargon , Xiaoxia Wu, Alan Willner, Loukas Paraschis",
  "abstract_excerpt_en": "We demonstrate a technique of using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams for optical performance monitoring of phase shift keying (PSK) data signals. We show that asynchronous diagrams from",
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  "sources": [
    "NIST Publications"
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    {
      "title_en": "Optical performance monitoring of (Q)PSK data channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams",
      "designation": "",
      "series": "",
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      "date": "2011-02-15",
      "date_original": "February 15, 2011",
      "url": "https://www.nist.gov/publications/optical-performance-monitoring-qpsk-data-channels-using-artificial-neural-networks",
      "source": "NIST Publications",
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      "authors_en": "Jeffrey A. Jargon , Xiaoxia Wu, Alan Willner, Loukas Paraschis",
      "abstract_excerpt_en": "We demonstrate a technique of using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams for optical performance monitoring of phase shift keying (PSK) data signals. We show that asynchronous diagrams from"
    }
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