NIST · ИТ · b45e5a4177a4522e4b54
A robust algorithm for eye-diagram analysis
We present a new method for analyzing eye diagrams that always provides a unique solution by making use of a robust, least-median-of-squares (LMS) location estimator. In contrast to commonly used histogram techniques, the LMS procedure is insensitive to
NIST · ИТОфициальный источник · 2008-11-01
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"title_en": "A robust algorithm for eye-diagram analysis",
"designation": "",
"series": "",
"status": "",
"date": "2008-11-01",
"date_original": "November 1, 2008",
"url": "https://www.nist.gov/publications/robust-algorithm-eye-diagram-analysis",
"source": "NIST Publications",
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"authors_en": "Jeffrey A. Jargon , Paul D. Hale , Chih-Ming Wang",
"abstract_excerpt_en": "We present a new method for analyzing eye diagrams that always provides a unique solution by making use of a robust, least-median-of-squares (LMS) location estimator. In contrast to commonly used histogram techniques, the LMS procedure is insensitive to",
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{
"title_en": "A robust algorithm for eye-diagram analysis",
"designation": "",
"series": "",
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"date": "2008-11-01",
"date_original": "November 1, 2008",
"url": "https://www.nist.gov/publications/robust-algorithm-eye-diagram-analysis",
"source": "NIST Publications",
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"authors_en": "Jeffrey A. Jargon , Paul D. Hale , Chih-Ming Wang",
"abstract_excerpt_en": "We present a new method for analyzing eye diagrams that always provides a unique solution by making use of a robust, least-median-of-squares (LMS) location estimator. In contrast to commonly used histogram techniques, the LMS procedure is insensitive to"
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