Recurrent neural networks and systems for decoding encoded data
US11424764B2 · kind B2 · utility
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10References
19Claims
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Key dates
| Filing date | Nov 13, 2019 |
| Grant date | Aug 23, 2022 |
| Priority date | — |
| Expiry date | Oct 5, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH03M13/152
- WIPO fieldBasic communication processes
- WIPO sectorElectrical engineering
Abstract
Examples described herein utilize multi-layer neural networks, such as multi-layer recurrent neural networks to decode encoded data (e.g., data encoded using one or more encoding techniques). The neural networks and/or recurrent neural networks have nonlinear mapping and distributed processing capabilities which are advantageous in many systems employing the neural network decoders and/or recurrent neural networks. In this manner, neural networks or recurrent neural networks described herein are used to implement error correction coding (ECC) decoders.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.