Method and apparatus providing a trained signal classification neural network
US11580382B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Apr 26, 2019 |
| Grant date | Feb 14, 2023 |
| Priority date | — |
| Expiry date | Dec 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for providing a training data set used for training a signal classification neural network is provided. The method includes generating at least one first virtual waveform primitive comprising a predetermined signal level and at least one second virtual waveform primitive comprising a signal edge. The training data set is formed and comprises a predetermined number of generated virtual waveform primitives including first virtual waveform primitives and second virtual waveform primitives. Each virtual waveform primitive comprises a sequence of time and amplitude discrete values. The training data set is used for training the signal classification neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.