Iterative Decoding Algorithms Powered by Deep Learning

In this paper, we analyze the performance of neural belief propagation (BP) decoding on the additive white Gaussian noise (AWGN) channel, compared to the traditional BP algorithm. Previous investigations have shown that assigning pre-trained weights to BP messages can significantly improve the decod...

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Vydané v:	2025 12th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN) s. 1 - 6
Hlavní autori:	Jovanovic, Dimitrije, Ivanis, Predrag
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 09.06.2025
Predmet:	AWGN channel AWGN channels Belief propagation Bit error rate Codes Decoding Deep learning Iterative decoding MDPC codes neural network Neural networks TensorFlow Training
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