DocumentCode :
925051
Title :
An upper bound on the back-up depth for maximum likelihood decoding of convolutional codes (Corresp.)
Author :
Ng, Wai-Hung
Volume :
22
Issue :
3
fYear :
1976
fDate :
5/1/1976 12:00:00 AM
Firstpage :
354
Lastpage :
357
Abstract :
By using distance properties of convolutional codes, an upper bound on the back-up depth for maximum likelihood decoding is derived. Then several constraints for performing the back-up search are introduced which eliminate the necessity for many of the subsearches. Examples are given in each step to explain the approach.
Keywords :
Convolutional codes; maximum-likelihood (ML) decoding; Convolutional codes; Delay systems; Differential equations; Feedback; Kalman filters; Maximum likelihood decoding; Polynomials; Seminars; Transfer functions; Upper bound;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1976.1055545
Filename :
1055545
Link To Document :
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