Deep neural network implementation for soft decoding of BCH code
US12050514B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 16, 2023 |
| Grant date | Jul 30, 2024 |
| Priority date | — |
| Expiry date | Mar 16, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH03M13/3707
- WIPO fieldBasic communication processes
- WIPO sectorElectrical engineering
Abstract
Systems, methods, non-transitory computer-readable media to perform operations associated with the storage medium. One system includes a storage medium and an encoding/decoding (ED) system to perform operations associated with the storage medium, the ED system being configured to process a set of log-likelihood ratios (LLRs) and a syndrome vector to obtain a set of confidence values for each bit of a codeword, estimate an error vector based on selecting one or more bit locations with confidence values from the set of confidence values above threshold value and applying hard decision decoding to the selected one or more bit locations, calculate a sum LLR score for the estimated error vector, and output a decoded codeword based on the estimated error vector and the sum LLR score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.