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On unequal error protection of convolutional codes from an algebraic perspective
Journal article   Peer reviewed

On unequal error protection of convolutional codes from an algebraic perspective

Chung-Hsuan Wang, Mao-Ching Chiu and Chi-Chao Chao
IEEE Transactions on Information Theory, Vol.56(1), pp.296-315
01/2010

Abstract

Basic/canonical/systematic generator matrices Convolutional codes Unequal error protection
In this paper, convolutional codes are studied for unequal error protection (UEP) from an algebraic theoretical viewpoint. We first show that for every convolutional code there exists at least one optimal generator matrix with respect to UEP. The UEP optimality of convolutional encoders is then combined with several algebraic properties, e.g., systematic, basic, canonical, and minimal, to establish the fundamentals of convolutional codes for UEP. In addition, a generic lower bound on the length of a UEP convolutional code is proposed. Good UEP codes with their lengths equal to the derived lower bound are obtained by computer search. © 2009 IEEE.

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