System and method for ultrasonic signal noise removal using a deep neural network
US11719796B2 · kind B2 · utility
0Cited by
0References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Dec 31, 2020 |
| Grant date | Aug 8, 2023 |
| Priority date | — |
| Expiry date | Sep 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S15/931
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a system and method for removing noise from an ultrasonic signal using a generative adversarial network (GAN). The present disclosure provides three input formats for the neural network (NN) in order to feed one-dimensional (1D) input data to the network. The system is generalizable to multiple noise sources, as it learns from different motion functions and noise types. The end-to-end system of the present disclosure is trained on raw ultrasonic signals with very little pre-processing or feature extraction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.