Digital signal processing with neural networks
US11599799B1 · kind B1 · utility
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4References
15Claims
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Key dates
| Filing date | Sep 17, 2019 |
| Grant date | Mar 7, 2023 |
| Priority date | — |
| Expiry date | Dec 3, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computerized neural network training and testing environment trains and validates a neural network to produce outputs corresponding to a digital signal processing (DSP) algorithm. After validation and testing, the neural network is replicable in any processing environment, independent of device architecture. Such devices may also include a neural network having a reversed process flow to produce a digital signal corresponding to an inverse of the DSP algorithm.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.