Abstract: This paper presents a novel auto-encoder based end-to-end channel encoding and decoding. It integrates deep reinforcement learning (DRL) and graph neural networks (GNN) in code design by ...

Abstract: Error-correcting codes, such as classical BCH codes, are widely used in noisy channels, but emerging wavelet-based approaches offer adaptive alternatives. This article compares linear codes ...

A class that is able to develop any (n, k) linear code. Includes an implementation of an ASCII correcting linear code along with a simulation of error correction ...

C++ tool for linear code analysis using Gröbner bases. Computes leader codewords, tests code equivalence, and analyzes automorphism groups based on recent coding ...