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