← Search

Thibaud Tonnellier

3 accepted papers

2021

High-Throughput VLSI Architecture for Soft-Decision Decoding with ORBGRAND

ICASSP 2021accepted

Guessing Random Additive Noise Decoding (GRAND) is a recently proposed approximate Maximum Likelihood (ML) decoding technique that can decode any linear error-correcting block code. Ordered Reliability Bits GRAND (ORBGRAND) is a powerful variant of GRAND, which outperforms the original GRAND techniq…

Cited by 0SourceScholar
2021

Towards Practical Near-Maximum-Likelihood Decoding of Error-Correcting Codes: An Overview

ICASSP 2021accepted

While in the past several decades the trend to go towards increasing error-correcting code lengths was predominant to get closer to the Shannon limit, applications that require short block length are developing. Therefore, decoding techniques that can achieve near-maximum-likelihood (near-ML) are ga…

Cited by 0SourceScholar