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US Patent 11599799 Digital signal processing with neural networks

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Rockwell Collins
Rockwell Collins
Current Assignee
Rockwell Collins
Rockwell Collins
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11599799
Date of Patent
March 7, 2023
Patent Application Number
16573113
Date Filed
September 17, 2019
Patent Citations
‌
US Patent 11228379 Radio signal processing network model search
‌
US Patent 11150327 System and method for synthetic aperture radar target recognition using multi-layer, recurrent spiking neuromorphic networks
‌
US Patent 11218498 Context-aware feature embedding and anomaly detection of sequential log data using deep recurrent neural networks
‌
US Patent 11393211 Hybrid graphics processor-field programmable gate array system
Patent Primary Examiner
‌
Asghar H Bilgrami
CPC Code
‌
G06N 3/10
‌
G06N 3/08
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H04L 12/2801

A computerized neural network training and testing environment trains and validates a neural network to produce outputs corresponding to a digital signal processing (DSP) algorithm. After validation and testing, the neural network is replicable in any processing environment, independent of device architecture. Such devices may also include a neural network having a reversed process flow to produce a digital signal corresponding to an inverse of the DSP algorithm.

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