Soft maximum likelihood decoding using GRAND
Maximum Likelihood (ML) decoding of forward error correction codes is known to be
optimally accurate, but is not used in practice as it proves too challenging to efficiently …
optimally accurate, but is not used in practice as it proves too challenging to efficiently …
Soft Maximum Likelihood Decoding using GRAND
A Solomon, KR Duffy, M Médard - arXiv preprint arXiv:2001.03089, 2020 - arxiv.org
Maximum Likelihood (ML) decoding of forward error correction codes is known to be
optimally accurate, but is not used in practice as it proves too challenging to efficiently …
optimally accurate, but is not used in practice as it proves too challenging to efficiently …
Soft Maximum Likelihood Decoding using GRAND
A Solomon, KR Duffy, M Médard - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Maximum Likelihood (ML) decoding of forward error correction codes is known to be
optimally accurate, but is not used in practice as it proves too challenging to efficiently …
optimally accurate, but is not used in practice as it proves too challenging to efficiently …
Soft Maximum Likelihood Decoding using GRAND
A Solomon, KR Duffy, M Medard - 2020 - mural.maynoothuniversity.ie
Maximum Likelihood (ML) decoding of forward error correction codes is known to be
optimally accurate, but is not used in practice as it proves too challenging to efficiently …
optimally accurate, but is not used in practice as it proves too challenging to efficiently …
[PDF][PDF] Soft Maximum Likelihood Decoding using GRAND
A Solomon, KR Duffy, M Médard - dspace.mit.edu
Maximum Likelihood (ML) decoding of forward error correction codes is known to be
optimally accurate, but is not used in practice as it proves too challenging to efficiently …
optimally accurate, but is not used in practice as it proves too challenging to efficiently …