Method to extract target signals of a known type from raw data containing an unknown number of target signals, interference, and noise
US8073634B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 22, 2008 |
| Grant date | Dec 6, 2011 |
| Priority date | — |
| Expiry date | May 31, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/06
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A signal analysis method extracts transient target signals of known type from a raw data source signal that contains an unknown number of target signals. The method can enhance the analysis of data obtained from in-line oil-debris sensors. The method comprises steps of: defining signatures of the known target signal, and of at least one of the intrinsic noise and interfering signals; performing a mathematical transform that decomposes the raw data into distinct data sets; using the signal signatures to identify and nullify the data sets containing noise and interfering signal signatures; using the target signal signatures to identify the data sets containing target signal components, or may further use a thresholding rule to remove intrinsic noise from said data sets, and finally applying the inverse transform to the processed data sets in order to reconstruct an enhanced output signal.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.