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Generalized stack algorithms for decoding convolutional codes

Published in IEEE Transactions on Information Theory • Nov 1, 1975
NobleIDNI5P30W69R71S04
Authors:
David Haccoun
,
M.J. Ferguson

Abstract

A new class of generalized stack algorithms for decoding convolutional codes is presented. It is based on the Zigangirov-Jelinek (Z-J) algorithm but, instead of extending just the top node of the stack at all times, a number of the most likely paths are simultaneously extended. This number of paths ...

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