Decoding of error correction codes based on reverse diffusion
US12294387B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 18, 2023 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Jul 18, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L1/0045
- WIPO fieldBasic communication processes
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are systems and method for training neural network based decoders for decoding error correction codes, comprising obtaining a plurality of training samples comprising one or more codewords encoded using an error correction code and transmitted over a transmission channel where the training samples are subject to gradual interference over a plurality of time steps and associate the encoded codeword(s) with an interference level and a parity check syndrome at each of the plurality of time steps, using the training samples to train a neural network based decoder to decode codewords encoded using an error correction code by (1) estimating a multiplicative interference included in the encoded codeword(s) based on reverse diffusion applied to the encoded codeword(s) across the time steps, (2) computing an additive interference included in the encoded codewords based on the multiplicative interference, and (3) recovering the codeword(s) by removing the additive interference.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.