DocumentCode :
2624037
Title :
New results on estimations of the burst and bit error probabilities for fixed convolutional codes
Author :
Balakirsky, Vladimir B. ; Johannesson, Rolf ; Zigangirov, Kamil Sh
Author_Institution :
Dept. of Inf. Theory, Lund Univ., Sweden
fYear :
1994
fDate :
27 Jun-1 Jul 1994
Firstpage :
271
Abstract :
Improved upper bounds on both burst and bit error probabilities for maximum-likelihood decoding of fixed binary convolutional codes on the binary symmetric channel are derived. The bounds are evaluated for rate R=1/2 encoders and comparisons are made with simulations and with the bounds of Viterbi (1971) and Van de Meeberg (1974). The new bounds are significantly better than Van de Meeberg´s bounds for rates above the computational cut-off rate R0
Keywords :
binary sequences; channel capacity; channel coding; coding errors; convolutional codes; error statistics; maximum likelihood decoding; probability; telecommunication computing; Van de Meeberg´s bounds; Viterbi bounds; binary symmetric channel; bit error probability; burst error probability; computational cut-off rate; encoders; fixed binary convolutional codes; maximum-likelihood decoding; upper bounds; Communication systems; Computational modeling; Convolutional codes; Error probability; Information theory; Maximum likelihood decoding; Maximum likelihood estimation; Upper bound; Viterbi algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
Type :
conf
DOI :
10.1109/ISIT.1994.395011
Filename :
395011
Link To Document :
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