Sep 22, 2022 · In this letter, we investigate the min-sum (MS) and neural MS (NMS) decoding algorithms for generalized low-density parity-check (GLDPC) codes.
Abstract—In this letter, we investigate the min-sum (MS) and neural MS (NMS) decoding algorithms for generalized low-density parity-check (GLDPC) codes.
This work proposes to optimize the design of GLDPC codes where the GC nodes are decoded with a trellis-based bit-wise Bahl-Cocke-Jelinek- Raviv component ...
Oct 22, 2024 · In this letter, we investigate the min-sum (MS) and neural MS (NMS) decoding algorithms for generalized low-density parity-check (GLDPC) ...
This repo contains the code for the neural min-sum decoding algorithms used to obtain the results shown in the following three papers.
Missing: Generalized | Show results with:Generalized
This paper proposes a low-complexity neural network decoder based on the layered min-sum algorithm to decode cyclic codes.
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This paper is about neural offset min-sum decoding (NOMS), a generalization of the offset min-sum algorithm used in practical channel decoders for LDPC codes.
In this paper, we present a method for creating LDPC codes which are specifically designed to be hardware friendly. Our method involves constraining the cyclic ...
Oct 24, 2023 · This decoding algorithm flexibly truncates the incoming messages at the check node level and carefully approximates the non-linear functions of ...
Missing: Neural | Show results with:Neural
Dec 14, 2022 · A new bottom-up design methodology to augment performance of the raw min-sum decoder of LDPC codes is proposed, by introducing incrementally a few parameters.