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Electronics Letters
Article . 2011 . Peer-reviewed
Data sources: Crossref
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Finite alphabet iterative decoders for LDPC codes surpassing floating-point iterative decoders

Authors: Planjery, Shiva; Declercq, David; Danjean, Ludovic; Vasic, Bane;

Finite alphabet iterative decoders for LDPC codes surpassing floating-point iterative decoders

Abstract

Introduced is a new type of message-passing (MP) decoders for low-density parity-check (LDPC) codes over the binary symmetric channel. Unlike traditional belief propagation (BP) based MP algorithms which propagate probabilities or log-likelihoods, the new MP decoders propagate messages requiring only a finite number of bits for their representation in such a way that good performance in the error floor region is ensured. Additionally, these messages are not quantised probabilities or log-likelihoods. As examples, MP decoders are provided that require only three bits for message representation, but surpass the floating-point BP (which requires a large number of bits for representation) in the error-floor region.

Country
France
Keywords

[MATH.MATH-IT] Mathematics [math]/Information Theory [math.IT], [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT]

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Average
Top 10%
Top 10%
Green
gold