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Stochastic iterative decoders [PDF]

open access: greenProceedings. International Symposium on Information Theory, 2005. ISIT 2005., 2005
This paper presents a stochastic algorithm for iterative error control decoding. We show that the stochastic decoding algorithm is an approximation of the sum-product algorithm. When the code's factor graph is a tree, as with trellises, the algorithm approaches maximum a-posteriori decoding.
Winstead, Chris   +3 more
openaire   +4 more sources

Learned Neural Iterative Decoding for Lossy Image Compression Systems [PDF]

open access: greenData Compression Conference, 2018
For lossy image compression systems, we develop an algorithm, iterative refinement, to improve the decoder's reconstruction compared to standard decoding techniques.
Alexander Ororbia   +6 more
semanticscholar   +2 more sources

An Efficient Two-Stage Decoding Scheme for LDPC-CRC Concatenated Codes [PDF]

open access: yesEntropy
In modern communication systems, the concatenation of a low-density parity-check (LDPC) code with a cyclic redundancy check (CRC) code is commonly used for error correction.
Lingjun Kong   +3 more
doaj   +2 more sources

Iterative channel equalization, channel decoding and source decoding [PDF]

open access: yes2005 IEEE 61st Vehicular Technology Conference, 2005
The performance of soft source decoding is evaluated over dispersive AWGN channels. By employing source codes having error-correcting capabilities, such as Reversible Variable-Length Codes (RVLCs) and Variable-Length Error-Correcting (VLEC) codes, the ...
Hanzo, L., Wang, J., Yang, L-L.
core   +3 more sources

Low-Density Parity-Check Decoding Algorithm Based on Symmetric Alternating Direction Method of Multipliers [PDF]

open access: yesEntropy
The Alternating Direction Method of Multipliers (ADMM) has proven to be an efficient approach for implementing linear programming (LP) decoding of low-density parity-check (LDPC) codes.
Ji Zhang   +5 more
doaj   +2 more sources

Iterative decoding beyond belief propagation

open access: yes2010 Information Theory and Applications Workshop (ITA), 2010
At the heart of modern coding theory lies the fact that low-density parity-check (LDPC) codes can be efficiently decoded by belief propagation (BP). The BP is an inference algorithm which operates on a graphical model of a code, and lends itself to low-complexity and high-speed implementations, making it the algorithm of choice in many applications. It
Planjery, Shiva   +4 more
openaire   +2 more sources

Convergence of iterative decoding

open access: yesElectronics Letters, 1999
A novel method for visualising the convergence behaviour of iterative decoding schemes is proposed. Each constituent decoder is represented by a mutual information transfer characteristic which describes the flow of extrinsic information through the soft in/soft out decoder.
S. Brink
openaire   +2 more sources

Iterative Reed-Muller Decoding [PDF]

open access: yes2021 11th International Symposium on Topics in Coding (ISTC), 2021
Reed-Muller (RM) codes are known for their good maximum likelihood (ML) performance in the short block-length regime. Despite being one of the oldest classes of channel codes, finding a low complexity soft-input decoding scheme is still an open problem. In this work, we present a belief propagation (BP) decoding architecture for RM codes based on their
Geiselhart, Marvin   +4 more
openaire   +3 more sources

Symbol-level iterative information set decoding of RS codes

open access: yesAlexandria Engineering Journal, 2023
This paper presents the implementation of a low-complex iterative symbol-level decoding scheme for Reed-Solomon codes. Most soft-decision iterative decoders for Reed-Solomon codes work on a bit level due to the efficient passing of soft information due ...
Yuval Genga   +2 more
doaj   +1 more source

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