IEEE NSS CAS/SP/COM Seminar: Introduction to Channel Coding: Classical and Modern: Part 1

#Shannon #limit #communication #theory #error #correction #codes #linear #block #convolutional #turbo #LDPC #polar
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 The IEEE North Saskatchewan Section Circuits and Systems/Signal Processing/Communications Joint Chapter is proud to present:

Introduction to Channel Coding: Classical and Modern

Claude Shannon’s 1948 celebrated paper "A Mathematical Theory of Communication" founded the fields of channel coding, source coding, and information theory. Shannon proved the existence of channel codes which ensure reliable communication provided that the information rate does not exceed the so-called capacity of the channel. For the next half century that followed Shannon's landmark publication, a large number of very clever and very effective channel codes had been devised. However, none of them was demonstrated to closely approach Shannon's theoretical limit in a practical setting. The first breakthrough came in 1993 with the discovery of turbo codes, the first class of channel codes shown to operate near Shannon's capacity limit. A second breakthrough came around 1996 with the rediscovery of low-density parity-check (LDPC) codes, which were also shown to achieve near-capacity performance.

The first part of this seminar introduces and explains encoding and decoding principles of some of the most common channel codes, both classical and modern, including linear block codes, convolutional codes, turbo codes and LDPC codes. Their applications in practical communication systems such as 5G cellular, digital video broadcasting, and cable TV networks are also discussed. The second part focuses on a new class of capacity-achieving channel codes known as polar codes, which have modest encoding and decoding complexity, making them attractive for many applications.



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  • Date: 24 Oct 2019
  • Time: 04:30 PM to 06:30 PM
  • All times are (UTC-06:00) Saskatchewan
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  • 15 Innovation Boulevard
  • Saskatoon, Saskatchewan
  • Canada
  • Building: The Galleria
  • Room Number: Philae Room, Main Floor, 124
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  • Starts 16 September 2019 09:00 PM
  • Ends 22 October 2019 11:55 PM
  • All times are (UTC-06:00) Saskatchewan
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  Speakers

Dr. Ha Nguyen of Electrical & Computer Engineering, University of Saskatchewan

Ha Nguyen received the Ph.D. degree in Electrical Engineering from the University of Manitoba, Winnipeg, MB, Canada, in 2001. He joined the Department of Electrical and Computer Engineering, University of Saskatchewan in 2001, and became a Professor in 2007. He currently holds the position of NSERC/Cisco Industrial Research Chair in Low-Power Wireless Access for Sensor Networks. His research interests fall into broad areas of Communication Theory, Wireless Communications, and Statistical Signal Processing. Dr. Nguyen was an Associate Editor for the IEEE Transactions on Wireless Communications and IEEE Wireless Communications Letters during 2007-2011 and 2011-2016, respectively. He currently serves as an Associate Editor for the IEEE Transactions on Vehicular Technology. He is a coauthor, with Ed Shwedyk, of the textbook "A First Course in Digital Communications" (published by Cambridge University Press). Dr. Nguyen is a Fellow of the Engineering Institute of Canada (EIC) and a Registered Member of the Association of Professional Engineers and Geoscientists of Saskatchewan (APEGS).

Dr. Muhammad Hanif of Electrical & Computer Engineering, University of Saskatchewan

Muhammad Hanif received his Ph.D. degree in Electrical Engineering from the University of Victoria, Victoria, BC, Canada, in 2016. After graduation, he worked as a postdoctoral fellow at the University of Alberta, Edmonton, AB, Canada, where he researched on error-correcting codes for the 5G wireless communication systems. Currently, he is a postdoctoral fellow at the University of Saskatchewan, Saskatoon, SK, Canada, where he is working on low-power wide area networks designed for the Internet of Things. Dr. Hanif’s research interests are in the design and performance analysis of wireless communication systems, digital signal processing, and information theory with the focus on the next-generation wireless communication systems.