- Patent Title: Neural network systems and methods for removing noise from signals
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Application No.: US17519929Application Date: 2021-11-05
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Publication No.: US12136197B2Publication Date: 2024-11-05
- Inventor: Michael Newey , Prafull Sharma
- Applicant: Massachusetts Institute of Technology
- Applicant Address: US MA Cambridge
- Assignee: Massachusetts Institute of Technology
- Current Assignee: Massachusetts Institute of Technology
- Current Assignee Address: US MA Cambridge
- Agency: DALY, CROWLEY, MOFFORD & DURKEE, LLP
- Main IPC: G06T5/70
- IPC: G06T5/70 ; G01S17/89 ; G06N3/045 ; G06N3/088 ; G06T5/50
Abstract:
A neural network is used to remove noise from a data signal. The noise removed by the neural network is compared to simulated noise that represents noise expected to be present in the data signal. The results of the comparison are used to train the neural network and improve its ability to remove noise from the data signal.
Public/Granted literature
- US20220138911A1 NEURAL NETWORK SYSTEMS AND METHODS FOR REMOVING NOISE FROM SIGNALS Public/Granted day:2022-05-05
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