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SUMMARY:Mismatched Decoding - Jonathan Scarlett (University of Cambridge)
DTSTART:20130522T133000Z
DTEND:20130522T143000Z
UID:TALK45438@talks.cam.ac.uk
CONTACT:Jossy Sayir
DESCRIPTION:Shannon's channel coding theorem gives the largest rate under 
 which\,\nby suitable choice of the block length and decoding rule\, the er
 ror\nprobability can be made arbitrarily small.  In practice\, many decode
 rs\nare ruled out due to complexity and imperfect knowledge of the\nchanne
 l.  An open problem in information theory is to find the largest\nachievab
 le rate for a given (possibly supoptimal) decoding rule. This\nis known as
  the mismatched decoding problem.  In this talk\, we present\nan overview 
 of the mismatched decoding literature\, with a focus on\nrandom coding and
  achievable rates.  We then discuss ongoing work on\nthe topic.
LOCATION:SigProC seminar room (3rd floor of Dept. of Engineering)
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