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US Patent 11973540 Radio signal processing network model search

Patent 11973540 was granted and assigned to DeepSig on April, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
DeepSig
DeepSig
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Current Assignee
DeepSig
DeepSig
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119735400
Patent Inventor Names
Timothy James O'Shea0
Date of Patent
April 30, 2024
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Patent Application Number
181324880
Date Filed
April 10, 2023
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Patent Citations
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US Patent 10998101 Health management
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US Patent 11074107 Data processing system and method for managing AI solutions development lifecycle
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US Patent 11228379 Radio signal processing network model search
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US Patent 11580325 Systems and methods for hyper parameter optimization for improved machine learning ensembles
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US Patent 11626932 Radio signal processing network model search
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US Patent 9313166 Enhancement of machine learning techniques for an electronic message system
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US Patent 9503466 Cross-validation of a learning machine model across network devices
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US Patent 9560060 Cross-modality electromagnetic signature analysis for radio frequency persona identification
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Patent Primary Examiner
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Lana N Le
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CPC Code
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H04W 16/18
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H04W 4/023
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H04W 4/029
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H04W 24/06
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H04B 17/11
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H04B 17/3912
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H04B 17/309
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H04B 17/318
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Patent abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned communication. One of the methods includes: receiving an RF signal at a signal processing system for training a machine-learning network; providing the RF signal through the machine-learning network; producing an output from the machine-learning network; measuring a distance metric between the signal processing model output and a reference model output; determining modifications to the machine-learning network to reduce the distance metric between the output and the reference model output; and in response to reducing the distance metric to a value that is less than or equal to a threshold value, determining a score of the trained machine-learning network using one or more other RF signals and one or more other corresponding reference model outputs, the score indicating an a performance metric of the trained machine-learning network to perform the desired RF function.

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