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王熠晨

教授 博士生导师 硕士生导师

  • 电子邮箱:
  • 所在单位: 信息与通信工程学院
  • 办公地点: 兴庆校区西一楼448
  • 学位: 博士

Research

当前位置: 中文主页 - Research
Services

 PROFESSIONAL SERVICES

 

Editorial Positions

  • Editor, KSII Transactions on Internet and Information Systems, Jun. 2015 - Present

 

Technical Program Commitee Co-Chairs for International Conferences

  •  IEEE Vehicular Technology Conference (VTC) 2016-Spring Workshop on User-Centric Networking for 5G and Beyond

 

Technical Program Commitee Members for International Conferences

  • IEEE GLOBECOM 2014, 2015, 2016, 2017, 2018 (IEEE ComSoc Flagship Conference)

  • IEEE ICC 2015, 2016, 2017, 2018, 2019 (IEEE ComSoc Flagship Conference)

  • IEEE VTC 2014-Fall, 2015-Spring, 2015-Fall, 2016-Spring, 2016-Fall, 2017-Spring, 2017-Fall, 2018-Spring, 2018-Fall (IEEE VTS Semi-Annual Flagship Conference)

  • IEEE WCNC 2016, 2017, 2018

  • IEEE ICCC 2013, 2014, 2015, 2016, 2017, 2018 (IEEE ComSoc Reginal Conference)

  • IEEE WCSP 2014, 2015, 2016 

 

Reviewer for Selected Journals and Conferences

  • IEEE Communications Magazine

  • IEEE Wireless Communications

  • IEEE Network

  • IEEE Journal on Selected Areas in Communications

  • IEEE Transactions on Wireless Communications

  • IEEE Transactions on Communications

  • IEEE Transactions on Vehicular Technology

  • IEEE Communications Letters

  • IEEE Wireless Communications Letters

  • IEEE Access

  • China Communications

  • IEEE Global Telecommunications Conference (GLOBECOM)

  • IEEE International Communications Conference (ICC)

  • IEEE Wireless Communications and Networking Conference (WCNC)

  • IEEE Vehicular Technology Conference (VTC)

Information Theory

 

Welcome to the page of "Information Theory (INFT530105)"

 

 

Course Meeting Time:

  • Letures: 2 sessions/week, 2 class hours/session

 

Course Information:

  • This is a undergraduate-level introduction to information theory. It offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include mathematical definition and properties of information, source coding theorem, lossless compression of data, optimal lossless coding, channel coding theorem, etc.

 

Reading Materials:

 

Textbook

Recommended Reading

 

Course Topics:

  • Chapter 1 -- Introduction to the content (slides)
  • Chapter 2 -- Entropy and mutual inforamtion (slides)
  • Chapter 3 -- Asymptotic equipartition property (slides)
  • Chapter 4 -- Data compression (Source coding) (slides)
  • Chapter 5 -- Channel capacity and channel coding theorem (slides)
  • Chapter 6 -- Differential entropy and Guassian channel (slides)
  • Comprehensive Review (slides)

 

Homeworks: