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Na (Hrsg.) Chen

Signal and Information Processing, Networking and Computers

Proceedings of the 1st International Congress on Signal and Information Processing, Networking and Computers (ICSINC 2015), October 17-18, 2015 Beijing, China

Ebook (EPUB Format)

The First International Conference on Signal and Information Processing, Networking and Computers (ICSINC) focuses on the key technologies and challenges of signal and information processing schemes, network application, computer theory and application, etc. Topics in this conference include:Information TheoryThe work contains state-of-the-art research work in the field of information theory from traditional media coding theory, compressing and streaming theory to the latest quantum theory & statistics and big data analytics, featuring the most active research interests in this field.Communication SystemAs a traditional and fundamental as… Mehr

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Produktdetails


Weitere Autoren: Huang, Tingting (Hrsg.)
  • ISBN: 978-1-317-30210-0
  • EAN: 9781317302100
  • Produktnummer: 31760969
  • Verlag: Taylor & Francis Ltd.
  • Sprache: Englisch
  • Erscheinungsjahr: 2016
  • Seitenangabe: 414 S.
  • Plattform: EPUB

Über den Autor


Na Chen received her B.Sc. degree in 2011 from Beijing University of Posts and Telecommunications, China. She is currently a Ph.D. candidate at Beijing University of Posts and Telecommunications. Her research interest includes signal processing, wireless communications, multimedia communication. Her current work focuses on the resource constrained wireless multimedia transmission. Tingting Huang received her B.S. Degree in Electronic Information Science and Technology in 2014 from the College of Physical Science and Technology, Central China Normal University, China. Since September 2014, she has been working and studying at the Multimedia Communications and Interactive Institute, Beijing University of Posts and Telecommunications, China. Her research interests include High Efficiency Video Coding (HEVC), Joint Source Channel Coding (JSCC) and Machine Learning.

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