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
Author:   Na Chen ,  Tingting Huang
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138028814


Pages:   414
Publication Date:   14 April 2016
Format:   Hardback
Availability:   In Print   Availability explained
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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


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Author:   Na Chen ,  Tingting Huang
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.839kg
ISBN:  

9781138028814


ISBN 10:   1138028819
Pages:   414
Publication Date:   14 April 2016
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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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