[16] Marco Baldi, Marco Bodrato, and Franco Chiaraluce. A new analysis of the McEliece cryptosystem based on QC-LDPC codes. In Security and Cryptography for Networks: 6th International Conference, SCN 2008, Amalfi, Italy, September 10-12, 2008. Proceedings 6, pages 246-262. Springer, 2008.
[17] Xiaojie Zhang and Paul H Siegel. Quantized iterative message passing decoders with low error floor for LDPC codes. IEEE Transactions on Communications, 62(1):1-14, 2013.
[18] Yoav Freund and Robert E Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, 1997.
[19] Yoav Freund, Robert Schapire, and Naoki Abe. A short introduction to boosting. Journal-Japanese Society For Artificial Intelligence, 14(771-780):1612, 1999.
[20] Jingyu Kang, Qin Huang, Shu Lin, and Khaled Abdel-Ghaffar. An iterative decoding algorithm with backtracking to lower the error-floors of LDPC codes. IEEE Transactions on Communications, 59(1):64-73, 2010.
[21] Soonyoung Kang, Jaekyun Moon, Jeongseok Ha, and Jinwoo Shin. Breaking the trapping sets in LDPC codes: Check node removal and collaborative decoding. IEEE Transactions on Communications, 64(1):15-26, 2015.
[22] Seokju Han, Jieun Oh, Kyungmok Oh, and Jeongseok Ha. Deep-learning for breaking the trapping sets in low-density parity-check codes. IEEE Transactions on Communications, 70(5):2909-2923, 2022.
[23] Xavier Glorot and Yoshua Bengio. Understanding the difficulty of training deep feedforward neural networks. In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, pages 249-256. JMLR Workshop and Conference Proceedings, 2010.
[24] Arild Nøkland and Lars Hiller Eidnes. Training neural networks with local error signals. In International Conference on Machine Learning, pages 4839-4850. PMLR, 2019.
[25] Eugene Belilovsky, Michael Eickenberg, and Edouard Oyallon. Greedy layerwise learning can scale to imagenet. In International Conference on Machine Learning, pages 583-593. PMLR, 2019.
[26] Jincheng Dai, Kailin Tan, Zhongwei Si, Kai Niu, Mingzhe Chen, H Vincent Poor, and Shuguang Cui. Learning to decode protograph LDPC codes. IEEE Journal on Selected Areas in Communications, 39(7):1983-1999, 2021.
[27] Mengke Lian, Fabrizio Carpi, Christian Hager, and Henry D Pfister. Learned belief-propagation decoding with simple scaling and SNR adaptation. In 2019 IEEE International Symposium on Information Theory (ISIT), pages 161-165. IEEE, 2019.
[28] IEEE standard for information technology—telecommunications and information exchange between systems local and metropolitan area networks—specific requirements—part 11: Wireless lan medium access control (MAC) and physical layer (PHY) specification. IEEE Standard 802.11, 2016.
[29] Jinghu Chen, Ajay Dholakia, Evangelos Eleftheriou, Marc PC Fossorier, and Xiao-Yu Hu. Reduced-complexity decoding of LDPC codes. IEEE Transactions on Communications, 53(8):1288-1299, 2005.
[30] Joachim Rosseel, Valérian Mannoni, Inbar Fijalkow, and Valentin Savin. Decoding short LDPC codes via BP-RNN diversity and reliability-based post-processing. IEEE Transactions on Communications, 70(12):7830-7842, 2022.
[31] Xin Xiao, Bane Vasic, Ravi Tandon, and Shu Lin. Designing finite alphabet iterative decoders of LDPC codes via recurrent quantized neural networks. IEEE Transactions on Communications, 68(7):3963-3974, 2020.