Stochastic decoding of LDPC codes

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2006Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Communications Letters, volume 10, pages 716-718 (issn: 1089-7798,

Copyright policy )

Authors: Saeed Sharifi Tehrani; Warren J. Gross; Shie Mannor;

doi: 10.1109/lcomm.2006.060570

Stochastic decoding of LDPC codes

- Summary
- Metrics

Abstract

This letter presents the first successful method for iterative stochastic decoding of state-of-the-art low-density parity-check (LDPC) codes. The proposed method shows the viability of the stochastic approach for decoding LDPC codes on factor graphs. In addition, simulation results for a 200 and a 1024 length LDPC code demonstrate the near-optimal performance of this method with respect to sum-product decoding. The proposed method has a significant potential for high-throughput and/or low complexity iterative decoding.

Related Organizations

McGill University
Canada

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	132
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%