Knowledge and model based adaptive signal processor
US5018215A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Mar 23, 1990 |
| Grant date | May 21, 1991 |
| Priority date | — |
| Expiry date | Mar 23, 2010 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S706/902
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A knowledge and model based adaptive signal processor for ensuring optimum performance in automated object recognition (AOR) systems. The invention does not require ground-truth information but uses predictive performance models for parameter adaption and updates for the AOR. The performance models are representations of continuous surfaces that interpolate and extrapolate for data and scenarios not previously tested. The present invention increases probability of detection and decreases false detection alarm rates of AOR systems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.