A Low-Complexity Neural Normalized Min-Sum LDPC Decoding Algorithm Using Tensor-Train Decomposition
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DOI: 10.1109/lcomm.2022.3207506
Abstract: Compared with traditional low-density parity-check (LDPC) decoding algorithms, the current model-driven deep learning (DL)-based LDPC decoding algorithms face the disadvantage of high computational complexity. Based on the Neural Normalized Min-Sum (NNMS) algorithm, we propose a… read more here.
Keywords: normalized min; ldpc decoding; nnms algorithm; neural normalized ... See more keywords