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US Patent 10581469 Machine learning-based nonlinear pre-distortion system

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Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10581469
Date of Patent
March 3, 2020
Patent Application Number
15955485
Date Filed
April 17, 2018
Patent Citations
‌
US Patent 10075324 Predistortion processing apparatus and method
Patent Citations Received
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US Patent 12088398 Configurable orthogonal frequency division multiplexing (OFDM) signal and transmitter and receiver for same
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0
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US Patent 12074683 Configurable orthogonal frequency division multiplexing (OFDM) signal and transmitter and receiver for satellite to user terminal downlink communications
0
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US Patent 12081646 Adaptively controlling groups of automated machines
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US Patent 11238877 Generative adversarial network-based speech bandwidth extender and extension method
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US Patent 10749594 Learning-based space communications systems
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US Patent 11568634 Machine learning pipeline for document image quality detection and correction
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US Patent 10892786 Digital predistortion with out-of-band and peak expansion regularization
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Patent Primary Examiner
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Sonny Trinh
Patent abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for correcting distortion of radio signals A transmit radio signal corresponding to an output of a transmitting radio signal processing system is obtained. A pre-distorted radio signal is then generated by processing the transmit radio signal using a nonlinear pre-distortion machine learning model. The nonlinear pre-distortion machine learning model includes model parameters and at least one nonlinear function to correct radio signal distortion or interference. A transmit output radio signal is obtained by processing the pre-distorted radio signal through the transmitting radio signal processing system. The transmit output radio signal is then transmitted to one or more radio receivers.

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