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Book Chapter
Computing Weight Distributions of Convolutional Codes Via Shift Register Synthesis
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 1719/1999
Book
Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
DOI
10.1007/3-540-46796-3
Copyright
1999
ISBN
978-3-540-66723-0
DOI
10.1007/3-540-46796-3_31
Page
732
Subject Collection
Computer Science
SpringerLink Date
Friday, January 01, 1999
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Computing Weight Distributions of Convolutional Codes Via Shift Register Synthesis
Mehul Motani
7
and Chris Heegard
7
(7)
School of Electrical Engineering, Cornell University, Ithaca, NY 14853, USA
Abstract
Weight distributions of convolutional codes are important because they permit computation of bounds on the error performance. In this paper, we present a novel approach to computing the complete weight distribution function (WDF) of a convolutional code. We compute the weight distribution series using the generalized Viterbi Algorithm (GVA) and then find the minimum linear recursion relation in this series using the shift register synthesis algorithm (SRSA). The WDF follows from the minimum recursion. In order to generalize the use of the SRSA over certain commutative rings, we prove the key result that the set of finite recursions forms a principal ideal.
Supported in part by NSF grant # CCR-9805885.
Mehul
Motani
Email:
motani@ee.cornell.edu
Chris
Heegard
Email:
heegard@ee.cornell.edu
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Referenced by
1 newer article
Agarwal, M. (2005) .
IEEE Transactions on Wireless Communications
4(6)
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