Hypothesis-based estimation of source signals from mixtures
US10718742B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Nov 11, 2019 |
| Grant date | Jul 21, 2020 |
| Priority date | — |
| Expiry date | Nov 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N29/14
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
In environments (such as acoustic and bioelectrical environments) characterized by multiple simultaneous sources, effective blind source separation from sensor response mixtures becomes difficult as the number of sources increases-especially when the true number of sources is both unknown and changing over time. However, in some environments, non-sensor information can provide useful hypotheses for some sources. Embodiments of the present invention provide an adaptive filtering architecture for validating such source hypotheses, extracting an estimated representation of source signals corresponding to valid hypotheses, and improving the separation of the remaining “hidden” source signals from the sensor response mixtures.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.