Mathematics, Department of

 

Department of Mathematics: Faculty Publications

Accessibility Remediation

If you are unable to use this item in its current form due to accessibility barriers, you may request remediation through our remediation request form.

Document Type

Article

Date of this Version

2005

Citation

http://arxiv.org/abs/cs/0502033v1

Presented at Information Theory Workshop (ITW), San Antonio, TX, 2004.

Published in Proceedings of the IEEE Information Theory Workshop, San Antonio, TX, Oct. 24-29, 2004.

Comments

Copyright 2004 IEEE. Used by permission.

Abstract

Cycle codes are a special case of low- density parity-check (LDPC) codes and as such can be decoded using an iterative message-passing decod- ing algorithm on the associated Tanner graph. The existence of pseudo-codewords is known to cause the decoding algorithm to fail in certain instances. In this paper, we draw a connection between pseudo- codewords of cycle codes and the so-called edge zeta function of the associated normal graph and show how the Newton polyhedron of the zeta function equals the fundamental cone of the code, which plays a crucial role in characterizing the performance of iterative de- coding algorithms.

Included in

Mathematics Commons

Share

COinS