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Parity-check decoding of convolutional codes whose systems parameters have desirable algebraic properties


Allen, B; Rosenthal, J (1998). Parity-check decoding of convolutional codes whose systems parameters have desirable algebraic properties. In: 1998 IEEE International Symposium on Information Theory. Proceedings. Piscataway, NJ: IEEE, 307.

Abstract

Using the input-state-output linear system representation of a convolutional code, an algorithm is developed to decode convolutional codes with iterative parity-check decoding. The algorithm is based on a new method of computing the state at each time instance t.

Using the input-state-output linear system representation of a convolutional code, an algorithm is developed to decode convolutional codes with iterative parity-check decoding. The algorithm is based on a new method of computing the state at each time instance t.

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Additional indexing

Other titles:IEEE International Symposium on Information Theory, CAMBRIDGE, MA, AUG 16-22, 1998
Item Type:Book Section, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:510 Mathematics
Uncontrolled Keywords:algebraic properties , convolutional codes , input-state-output linear system representation , iterative parity-check decoding , state estimation , systems parameters
Language:English
Date:1998
Deposited On:29 Nov 2010 16:27
Last Modified:05 Apr 2016 13:26
Publisher:IEEE
ISBN:0-7803-5000-6
Publisher DOI:https://doi.org/10.1109/ISIT.1998.708912

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