Context based decoding of split-LDPC codes

Gil I. Shamir, Li Wang, Joseph Boutros

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We consider channel decoding of redundant data with context based memory with the recently proposed class of nonsystematic split-LDPC codes. Methods based on denoising techniques and context estimation from universal source coding are used to extract redundancy between decoding iterations of split-LDPC codes. Simulation results show that the use of nonsystematic split-LDPC codes gains in most cases on standard systematic LDPC codes even without prior knowledge of the source statistics. Different context extraction methods are considered, including a novel approach that is used to capture different types of context based redundancy.

Original languageEnglish
Title of host publicationIEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference
DOIs
Publication statusPublished - 1 Dec 2006
Externally publishedYes
EventIEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference - San Francisco, CA, United States
Duration: 27 Nov 20061 Dec 2006

Other

OtherIEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference
CountryUnited States
CitySan Francisco, CA
Period27/11/061/12/06

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Shamir, G. I., Wang, L., & Boutros, J. (2006). Context based decoding of split-LDPC codes. In IEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference [4150710] https://doi.org/10.1109/GLOCOM.2006.80