DocumentCode :
796374
Title :
An algorithm for identifying rate (n-1)/n catastrophic punctured convolutional encoders
Author :
Sun, Feng-Wen ; Vinck, Adrianus J.
Author_Institution :
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
Volume :
42
Issue :
3
fYear :
1996
fDate :
5/1/1996 12:00:00 AM
Firstpage :
1010
Lastpage :
1013
Abstract :
It is known that both Viterbi and sequential decoding of convolutional codes can be greatly simplified by employing punctured convolutional codes, which are obtained by periodically deleting a part of the bits of a low-rate convolutional code. Even if the original low-rate convolutional code is noncatastrophic, some deleting maps may result in rate (n-1)/n catastrophic punctured encoders. An algorithm is presented to identify such encoders when the original rate 1/b encoder is antipodal. The major part of the algorithm solves a linear equation of /spl nu/+1 variables, where /spl nu/ is the constraint length of the original rate 1/b code.
Keywords :
Viterbi decoding; convolutional codes; sequential decoding; Viterbi decoding; algorithm; antipodal encoder; constraint length; deleting maps; linear equation; low-rate convolutional code; periodic deletion; rate (n-1)/n catastrophic punctured convolutional encoders; rate 1/b encoder; sequential decoding; Computer errors; Convolutional codes; Decoding; Equations; Information theory; Mathematics; Polynomials; Sun; Viterbi algorithm;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.490567
Filename :
490567
Link To Document :
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