DocumentCode :
943637
Title :
A list-type reduced-constraint generalization of the Viterbi algorithm
Author :
Hashimoto, Takeshi
Volume :
33
Issue :
6
fYear :
1987
fDate :
11/1/1987 12:00:00 AM
Firstpage :
866
Lastpage :
876
Abstract :
The Viterbi algorithm (VA), an optimum decoding rule for a Q -ary trellis code of constraint length K , operates by taking the best survivor from each of Q^{K-1} lists of candidates at each decoding step. A generalized VA (GVA) is proposed that makes comparisons on the basis of a label of length L(L\\leq K) . It selects, incorporating the notion of list decoding, the S best survivors from each of Q^{L-1} lists of candidates at each decoding step. Coding theorems for a discrete memoryless channel are proved for GVA decoding and shown to be natural generalizations of those for VA decoding. An example of intersymbol interference removal is given to illustrate the practical benefits that the GVA can provide.
Keywords :
Tree coding; Trellis coding; Viterbi decoding; Convolutional codes; Decoding; Helium; Information theory; Interference constraints; Intersymbol interference; Memoryless systems; Merging; Speech coding; Viterbi algorithm;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1987.1057377
Filename :
1057377
Link To Document :
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