DocumentCode :
2725202
Title :
Reduced complexity algebraic type Viterbi decoding of q-ary convolutional codes
Author :
Zigangirov, Kamil Sh
Author_Institution :
Dept. of Telecommun., Lund Univ., Sweden
fYear :
1995
fDate :
17-22 Sep 1995
Firstpage :
223
Abstract :
A reduced complexity algebraic type algorithm is described for decoding of convolutional codes over GF(q), q>2. It is founded on the same principles as algebraic-sequentia1 decoding. It is proved that for large q, the algorithm has better complexity-reliability tradeoff than the conventional Viterbi algorithm
Keywords :
Viterbi decoding; Viterbi decoding; algebraic-sequentia1 decoding; complexity-reliability tradeoff; discrete symmetric memoryless channel; q-ary convolutional codes; reduced complexity algebraic type algorithm; Convolutional codes; Equations; Maximum likelihood decoding; Memoryless systems; Viterbi algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
Type :
conf
DOI :
10.1109/ISIT.1995.535738
Filename :
535738
Link To Document :
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