•  English
    • Persian
    • English
  •   Login
  • Ferdowsi University of Mashhad
  • |
  • Information Center and Central Library
    • Persian
    • English
  • Home
  • Source Types
    • Journal Paper
    • Ebook
    • Conference Paper
    • Standard
    • Protocol
    • Thesis
  • Use Help
View Item 
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  • All Fields
  • Title
  • Author
  • Year
  • Publisher
  • Subject
  • Publication Title
  • ISSN
  • DOI
  • ISBN
Advanced Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Error model for insertion loss measurement in testing of balanced twisted-pair cabling: A complete expression and its simplification

Author:
Yu Song Meng
,
Patel, A.C.
,
Yueyan Shan
,
Pandya, H.N.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICeND.2014.6991357
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1040193
Keyword(s): Accuracy,Cameras,Multilayer perceptrons,Surveillance,Training,Video sequences,Activity Recognition,Human posture,Neural networks,intelligent systems,video sequences
Collections :
  • Latin Articles
  • Show Full MetaData Hide Full MetaData
  • Statistics

    Error model for insertion loss measurement in testing of balanced twisted-pair cabling: A complete expression and its simplification

Show full item record

contributor authorYu Song Meng
contributor authorPatel, A.C.
contributor authorYueyan Shan
contributor authorPandya, H.N.
date accessioned2020-03-12T21:11:29Z
date available2020-03-12T21:11:29Z
date issued2014
identifier other6928988.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1040193
formatgeneral
languageEnglish
publisherIEEE
titleError model for insertion loss measurement in testing of balanced twisted-pair cabling: A complete expression and its simplification
typeConference Paper
contenttypeMetadata Only
identifier padid8167194
subject keywordsAccuracy
subject keywordsCameras
subject keywordsMultilayer perceptrons
subject keywordsSurveillance
subject keywordsTraining
subject keywordsVideo sequences
subject keywordsActivity Recognition
subject keywordsHuman posture
subject keywordsNeural networks
subject keywordsintelligent systems
subject keywordsvideo sequences
identifier doi10.1109/ICeND.2014.6991357
journal titleeneral Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
filesize918997
citations0
  • About Us
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2019-2022  DuraSpace