Machine-learned differentiable digital signal processing
US11735197B2 · kind B2 · utility
0Cited by
0References
21Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jul 7, 2020 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | Jan 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods of the present disclosure are directed toward digital signal processing using machine-learned differentiable digital signal processors. For example, embodiments of the present disclosure may include differentiable digital signal processors within the training loop of a machine-learned model (e.g., for gradient-based training). Advantageously, systems and methods of the present disclosure provide high quality signal processing using smaller models than prior systems, thereby reducing energy costs (e.g., storage and/or processing costs) associated with performing digital signal processing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.