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Codes for iterative decoding from partial geometries

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conference contribution
posted on 2025-05-09, 12:49 authored by Sarah JohnsonSarah Johnson, Steven WellerSteven Weller
This work develops codes suitable for iterative decoding using the sum-product algorithm. We consider regular low-density parity-check (LDPC) codes derived from partial geometries, a large class of combinatorial structures which include several of the previously proposed algebraic constructions for LDPC codes as special cases. We derive bounds on minimum distance and rank/sub 2/(H) for codes from partial geometries, and present constructions and performance results for two classes of partial geometries which have not previously been proposed for use with iterative decoding.

History

Source title

Proceedings of the IEEE International Symposium on Information Theory, 2002

Name of conference

IEEE International Symposium on Information Theory, 2002

Location

Lausanne, Switzerland

Start date

2002-06-30

End date

2002-07-05

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Place published

Piscataway, NJ

Language

  • en, English

College/Research Centre

Faculty of Engineering and Built Environment

School

School of Electrical Engineering and Computer Science

Rights statement

Copyright © 2002 IEEE. Reprinted from Proceedings of the IEEE International Symposium on Information Theory, 2002, p. 310. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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