DocumentCode :
796384
Title :
Estimations of the transfer functions of noncatastrophic convolutional encoders
Author :
Balakirsky, Vladimir B.
Author_Institution :
Fakultat fur Math., Bielefeld Univ., Germany
Volume :
42
Issue :
3
fYear :
1996
fDate :
5/1/1996 12:00:00 AM
Firstpage :
1014
Lastpage :
1021
Abstract :
A computational method, which allows us to upper-bound the solution of a wide class of systems of linear recurrent equations, is proposed. This method is used to estimate the transfer functions of noncatastrophic convolutional encoders
Keywords :
convolutional codes; estimation theory; transfer functions; computational method; estimation; linear recurrent equations; noncatastrophic convolutional encoders; transfer functions; upper-bound; Convolutional codes; Equations; Error probability; Hamming weight; Iterative decoding; Polynomials; Tail; Transfer functions; Upper bound; Viterbi algorithm;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.490568
Filename :
490568
Link To Document :
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