Signal processing method and system for noise removal and signal extraction
US7519488B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2005 |
| Grant date | Apr 14, 2009 |
| Priority date | — |
| Expiry date | Dec 31, 2025 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/06
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A signal processing method and system combining smooth level wavelet pre-processing together with artificial neural networks all in the wavelet domain for signal denoising and extraction. Upon receiving a signal corrupted with noise, an n-level decomposition of the signal is performed using a discrete wavelet transform to produce a smooth component and a rough component for each decomposition level. The nth level smooth component is then inputted into a corresponding neural network pre-trained to filter out noise in that component by pattern recognition in the wavelet domain. Additional rough components, beginning at the highest level, may also be retained and inputted into corresponding neural networks pre-trained to filter out noise in those components also by pattern recognition in the wavelet domain. In any case, an inverse discrete wavelet transform is performed on the combined output from all the neural networks to recover a clean signal back in the time domain.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.