DocumentCode
938144
Title
On the distance properties of Paaske´s class of rates 2/3 and 3/4 convolutional codes (Corresp.)
Author
Conan, Jean
Volume
30
Issue
1
fYear
1984
fDate
1/1/1984 12:00:00 AM
Firstpage
100
Lastpage
104
Abstract
The distance properties of a class of rates 
and 
binary convolutional codes recently constructed by Paaske are reported. The data comprise the truncated input and output weight distributions of the codewords in the incorrect subset and the column distance function. which is strongly related to the computational effort of sequential decoding. The minimum asymptotic growth rate of the weights in the subset of unmerged codewords has been conjectured to be an important parameter; values of this parameter have also been included.
and binary convolutional codes recently constructed by Paaske are reported. The data comprise the truncated input and output weight distributions of the codewords in the incorrect subset and the column distance function. which is strongly related to the computational effort of sequential decoding. The minimum asymptotic growth rate of the weights in the subset of unmerged codewords has been conjectured to be an important parameter; values of this parameter have also been included.Keywords
Convolutional coding; Convolutional codes; Decoding; Distributed computing; Hamming weight; Joining processes; Memoryless systems; Shift registers; Signal to noise ratio; State-space methods; Viterbi algorithm;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1984.1056835
Filename
1056835
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