A NEW DECODING ALGORITHM FOR ERROR CORRECTING AND DETECTING CODES

A NEW DECODING ALGORITHM FOR ERROR CORRECTING AND DETECTING CODES A new decoding algorithm is deduced by dividing the set of all received words in nondisjoint fuzzy sets instead of disjoint ordinary sets. This algorithm leads to quite simple decoders as regards the technical complexity, by choosing a convenient variation law for the received word's membership function. Moreover, this algorithm allows the decoder to adapt to the channelnoise statistics in a certain sense. The algorithm may be used for both block and convolutional codes, but in this paper it is only applied to block codes, the following notations being used kinformation symbols number, nword lengths, vicode word, wjreceived word. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

A NEW DECODING ALGORITHM FOR ERROR CORRECTING AND DETECTING CODES

Kybernetes, Volume 1 (4): 5 – Apr 1, 1972

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0368-492X
DOI
10.1108/eb005316
Publisher site
See Article on Publisher Site

Abstract

A new decoding algorithm is deduced by dividing the set of all received words in nondisjoint fuzzy sets instead of disjoint ordinary sets. This algorithm leads to quite simple decoders as regards the technical complexity, by choosing a convenient variation law for the received word's membership function. Moreover, this algorithm allows the decoder to adapt to the channelnoise statistics in a certain sense. The algorithm may be used for both block and convolutional codes, but in this paper it is only applied to block codes, the following notations being used kinformation symbols number, nword lengths, vicode word, wjreceived word.

Journal

KybernetesEmerald Publishing

Published: Apr 1, 1972

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