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DTSTART:20180311T030000
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DTSTART:20181104T010000
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DTSTAMP:20180503T000000Z
UID:8CF8F8F8-A5AC-4F6B-B9E7-0787088476F8
DTSTART;TZID=Canada/Pacific:20180326T144500
DTEND;TZID=Canada/Pacific:20180326T161500
DESCRIPTION:In many communication channels\, the additive white Gaussian no
 ise (AWGN) has been widely used to model the receiver thermal noise. Over 
 the last few decades\, many state-of-the-art techniques have been develope
 d to address the problem of reliable transmissions over AWGN channel links
  in digital communications. These developments include both information-th
 eoretic studies and explicit source and channel coding/modulation schemes 
 for practical purposes. As a result\, effective solutions have been devise
 d and the results can serve as the fundamental theory and practice behind 
 many modern communication systems. While AWGN model is useful in providing
  an insight into the underlying behavior of communication systems\, it ign
 ores some other impairments which are prevalent in various communication e
 nvironments. For instance\, non-Gaussian impulsive interference caused und
 esirable impulse triggers in the form of random bursts that occur over sho
 rt durations severely affect the throughput and reliability of many modern
  communication systems\, including power line communications\, digital sub
 scriber lines\, cognitive radio\, urban and indoor wireless communications
 \, underwater acoustic communications and so on. Non-Gaussian interference
  is also observed in audio\, video\, and imaging systems. Despite many adv
 ancements\, channels under non-Gaussian interference are not fully underst
 ood\, from both an information-theoretic and a practical point of view.\n\
 nThis talk shall provide an introduction on the well-established area of i
 nformation theory and coding for AWGN channels\, as well as emerging resea
 rch directions in information theory and coding for non-Gaussian channels.
  The talk is divided in two parts. In the first part\, I will introduce so
 me introductory materials on information theory and coding designs in AWGN
  channels. The main focus is on the Shannon capacity and evolution of erro
 r control coding from the simplest block codes such as Hamming codes to ne
 ar-Shannon limit coding schemes that have recently been invented. I also d
 iscuss the improvements of error control coding over AWGN channels during 
 the last few decades\, with respect to both the error performance and the 
 complexity issue. In the second part of the talk\, I will provide an overv
 iew of current research on information theory and coding for non-Gaussian 
 and non-linear channels\, with particular attention paid to impulsive inte
 rference channels and channels with low-resolution output quantization. I 
 will also discuss major open research issues and directions for future res
 earch on these channels.\n\nCo-sponsored by: UBC Okanagan\n\nSpeaker(s): D
 r. Nghi Tran\, \n\nRoom: 4218\, Bldg: EME\, UBC\, Okanagan Campus\, 3333 U
 niversity Way\, Kelowna\, British Columbia\, Canada
LOCATION:Room: 4218\, Bldg: EME\, UBC\, Okanagan Campus\, 3333 University W
 ay\, Kelowna\, British Columbia\, Canada
ORGANIZER:jahangir.hossain@ubc.ca
SEQUENCE:4
SUMMARY:Fundamental Limits and Coding for Additive Gaussian and non-Gaussia
 n Channels
URL;VALUE=URI:https://events.vtools.ieee.org/m/170018
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;In many communication channels\, the addit
 ive white Gaussian noise (AWGN) has been widely used to model the receiver
  thermal noise. Over the last few decades\, many state-of-the-art techniqu
 es have been developed to address the problem of reliable transmissions ov
 er AWGN channel links in digital communications. These developments includ
 e both information-theoretic studies and explicit source and channel codin
 g/modulation schemes for practical purposes. As a result\, effective solut
 ions have been devised and the results can serve as the fundamental theory
  and practice behind many modern communication systems. While AWGN model i
 s useful in providing an insight into the underlying behavior of communica
 tion systems\, it ignores some other impairments which are prevalent in va
 rious communication environments. For instance\, non-Gaussian impulsive in
 terference caused undesirable impulse triggers in the form of random burst
 s that occur over short durations severely affect the throughput and relia
 bility of many modern communication systems\, including power line communi
 cations\, digital subscriber lines\, cognitive radio\, urban and indoor wi
 reless communications\, underwater acoustic communications and so on. Non-
 Gaussian interference is also observed in audio\, video\, and imaging syst
 ems. Despite many advancements\, channels under non-Gaussian interference 
 are not fully understood\, from both an information-theoretic and a practi
 cal point of view.&lt;/p&gt;\n&lt;p&gt;This talk shall provide an introduction on the 
 well-established area of information theory and coding for AWGN channels\,
  as well as emerging research directions in information theory and coding 
 for non-Gaussian channels. The talk is divided in two parts. In the first 
 part\, I will introduce some introductory materials on information theory 
 and coding designs in AWGN channels. The main focus is on the Shannon capa
 city and evolution of error control coding from the simplest block codes s
 uch as Hamming codes to near-Shannon limit coding schemes that have recent
 ly been invented. I also discuss the improvements of error control coding 
 over AWGN channels during the last few decades\, with respect to both the 
 error performance and the complexity issue. In the second part of the talk
 \, I will provide an overview of current research on information theory an
 d coding for non-Gaussian and non-linear channels\, with particular attent
 ion paid to impulsive interference channels and channels with low-resoluti
 on output quantization. I will also discuss major open research issues and
  directions for future research on these channels.&lt;/p&gt;
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