CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes

SJ Park, HY Kwak, SH Kim, Y Kim, JS No - arXiv preprint arXiv …, 2024 - arxiv.org
Error correcting codes~(ECCs) are indispensable for reliable transmission in communication
systems. The recent advancements in deep learning have catalyzed the exploration of ECC …

How to mask in error correction code transformer: Systematic and double masking

SJ Park, HY Kwak, SH Kim, S Kim, Y Kim… - arXiv preprint arXiv …, 2023 - arxiv.org
In communication and storage systems, error correction codes (ECCs) are pivotal in
ensuring data reliability. As deep learning's applicability has broadened across diverse …

Error correction code transformer

Y Choukroun, L Wolf - Advances in Neural Information …, 2022 - proceedings.neurips.cc
Error correction code is a major part of the physical communication layer, ensuring the
reliable transfer of data over noisy channels. Recently, neural decoders were shown to …

On a Unified Deep Neural Network Decoding Architecture

D Artemasov, K Andreev… - 2023 IEEE 98th Vehicular …, 2023 - ieeexplore.ieee.org
In modern communication systems, multiple types of error-correcting codes can be utilized
for different transmission scenarios. Therefore, the receiver should include the decoder …

Deep Error-Correcting Output Codes

G Zhong, Y Zheng, P Zhang, M Li, J Dong - 2016 - openreview.net
Existing deep networks are generally initialized with unsupervised methods, such as
random assignments and greedy layerwise pre-training. This may result in the whole …

Learning Linear Block Error Correction Codes

Y Choukroun, L Wolf - arXiv preprint arXiv:2405.04050, 2024 - arxiv.org
Error correction codes are a crucial part of the physical communication layer, ensuring the
reliable transfer of data over noisy channels. The design of optimal linear block codes …

ProductAE: Toward deep learning driven error-correction codes of large dimensions

MV Jamali, H Saber, H Hatami, JH Bae - arXiv preprint arXiv:2303.16424, 2023 - arxiv.org
While decades of theoretical research have led to the invention of several classes of error-
correction codes, the design of such codes is an extremely challenging task, mostly driven …

Iterative error decimation for syndrome-based neural network decoders

JKS Kamassury, D Silva - arXiv preprint arXiv:2012.00089, 2020 - arxiv.org
In this letter, we introduce a new syndrome-based decoder where a deep neural network
(DNN) estimates the error pattern from the reliability and syndrome of the received vector …

Section-Wise Revolving NBP-Like Decoders for QC-LDPC Codes

Q Zhang, B Chen, T Zhuang, Y Jiang… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Recently, deep learning has demonstrated improvements over classical decoding
algorithms in various families of error-correcting codes with short to moderate block lengths …

perm2vec: Graph permutation selection for decoding of error correction codes using self-attention

N Raviv, A Caciularu, T Raviv, J Goldberger… - arXiv preprint arXiv …, 2020 - arxiv.org
Error correction codes are an integral part of communication applications, boosting the
reliability of transmission. The optimal decoding of transmitted codewords is the maximum …