Invention Grant
- Patent Title: Hypothesis-based estimation of source signals from mixtures
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Application No.: US16679889Application Date: 2019-11-11
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Publication No.: US10718742B2Publication Date: 2020-07-21
- Inventor: Richard S. Goldhor , Keith Gilbert , Joel MacAuslan , Karen Payton
- Applicant: Speech Technology & Applied Research Corporation , Richard S. Goldhor
- Applicant Address: US MA Bedford US MA Belmont
- Assignee: Speech Technology and Applied Research Corporation,Richard S. Goldhor
- Current Assignee: Speech Technology and Applied Research Corporation,Richard S. Goldhor
- Current Assignee Address: US MA Bedford US MA Belmont
- Agency: Blueshift IP, LLC
- Agent Robert Plotkin
- Main IPC: G01N29/44
- IPC: G01N29/44 ; G01N29/14 ; G01H3/12

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.
Public/Granted literature
- US20200072799A1 Hypothesis-based Estimation of Source Signals from Mixtures Public/Granted day:2020-03-05
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