DocumentCode :
4509
Title :
Moderate Deviations in Channel Coding
Author :
Altug, Yucel ; Wagner, Aaron B.
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
Volume :
60
Issue :
8
fYear :
2014
fDate :
Aug. 2014
Firstpage :
4417
Lastpage :
4426
Abstract :
We consider block codes whose rate converges to the channel capacity with increasing blocklength at a certain speed and examine the best possible decay of the probability of error. For discrete memoryless channels, we prove that a moderate deviation principle holds for all convergence rates between the large deviation and the central limit theorem regimes.
Keywords :
block codes; channel capacity; channel coding; error statistics; block codes; blocklength; channel capacity; channel coding; discrete memoryless channels; error probability; moderate deviations; Capacity planning; Channel capacity; Channel coding; Error probability; Taylor series; Channel coding; error probability; moderate deviations;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2014.2323418
Filename :
6814957
Link To Document :
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