Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Patents
  4. Boosted decoders for reed-muller codes
 
patent

Boosted decoders for reed-muller codes

Abbe, Emmanuel  
•
Sandon, Colin  
2025

Various embodiments are directed to Reed-Muller decoding systems and methods configured to decode RM codes by processing each received noisy codeword f of the received RM encoded data to determine therefrom a respective decoding that best fits the noisy codeword f by (1) finding a subspace coset W on which the noisy codeword f is approximately equal to a valid codeword; (2) finding another subspace coset W ⋆ that is partially contained in W such that the restriction of the combination of the noisy codeword f and the alleged codeword on W to W ⋆ is close to a valid codeword; (3) using the alleged decodings of the codeword on the union of subspace cosets W and W ⋆, determine a decoding of the codeword on the entire subspace coset spanned by subspace cosets W and W ⋆ and declaring this coset the new value of subspace coset W ; (4) repeating steps 2-3 to keep expanding the subspace coset it has a decoding on until the expanded subspace coset W covers the entire space; and (5) repeating steps 1-4 at least once to determine therefrom a respective decoding that best fits the noisy codeword f.

  • Details
  • Metrics
Type
patent
EPO Family ID

93119844

Author(s)
Abbe, Emmanuel  
Sandon, Colin  
Issuers

École Polytechnique Fédérale de Lausanne

Note

Alternative title(s) : (fr) Décodeurs amplifiés pour codes reed-muller

EPFL units
AVP-R-TTO  
IdentifierCountry codeKind codeDate issued

WO2025017369

WO

A1

2025-01-23

Available on Infoscience
February 3, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/246399
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés