The conventional soft decision decoding (SDD) methods require various hard decision
decoders (HDDs) based on different codes or re-manipulate the generator matrix by the …

In this letter, a deep learning based iterative soft decision decoding algorithm for Reed-
Solomon codes is proposed. This algorithm takes advantage of deep neural network and …

In this article, an error-correction decoding technique using Hopfield neural networks (HNN)
and genetic algorithm (GA) is presented. First, based on the elementary relationship …

The Gaussian elimination algorithm is an essential part of the ordered statistics-based
decoding (OSD); the algorithm is required to be executed at least once for a typical OSD …

Block decoding algorithms and convolutional decoding algorithms have been devised to
operate with hard or soft decisions. However, soft-decision decoding is generally not used …

This paper proposes a node-classified redundant decoding (NC-RD) algorithm based on the
received sequence's channel reliability for high-density parity-check (HDPC) codes. Two …

Deep neural network (DNN)-based channel decoding is widely considered in the literature.
The existing solutions are investigated for the case of hard output, ie when the decoder …

We consider the design of efficient neural-network based algorithms, referred to as neural
decoders, for decoding linear and non-linear block codes, such as Hamming and constant …

With the flourishing development of wireless communication, further challenges will be
introduced by the future demands of emerging applications. However, in the face of more …

In this work, we propose a novel decoding algorithm for short block codes based on an edge-
weighted graph neural network (EW-GNN). The EW-GNN decoder operates on the Tanner …