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- W4288772561 abstract "In this letter we propose a novel framework for designing decoders, for Low-Density Parity Check (LDPC) codes, that surpasses the frame error rate performance of Belief-Propagation (BP) decoding on binary symmetric channels. Its key component is the adaptation method, based on the genetic optimization algorithm, that is incorporated into the recently proposed Gradient Descent Bit-Flipping Decoding with Momentum (GDBF-w/M). We show that the resulting decoder outperforms all state-of-the-art probabilistic bit-flipping decoders and, additionally, it can be trained to perform beyond BP decoding, which is verified by numerical examples that include codes used in IEEE 802.3an and 5GNR standards. The proposed framework provides a systematic method for decoder optimization without requiring knowledge of trapping sets. Moreover, it is applicable to both regular and irregular LDPC codes." @default.
- W4288772561 created "2022-07-30" @default.
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- W4288772561 date "2022-10-01" @default.
- W4288772561 modified "2023-10-15" @default.
- W4288772561 title "Adaptive Gradient Descent Bit-Flipping Diversity Decoding" @default.
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- W4288772561 doi "https://doi.org/10.1109/lcomm.2022.3195026" @default.
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