Bounds on the performance of belief propagation decoding

D. Burshtein*, G. Miller

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

We consider Gallager's soft decoding (belief propagation) algorithm for decoding low density parity check (LDPC) codes, when applied to an arbitrary binary-input symmetric-output channel. By considering the expected values of the messages, we derive both lower and upper bounds on the performance of the algorithm. We also derive various properties of the decoding algorithm, such as robustness to the initial values of the messages. Our results apply both to regular and irregular LDPC codes.

Original languageEnglish
Pages (from-to)3
Number of pages1
JournalIEEE International Symposium on Information Theory - Proceedings
StatePublished - 2001
Event2001 IEEE International Symposium on Information Theory (ISIT 2001) - Washington, DC, United States
Duration: 24 Jun 200129 Jun 2001

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