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US Patent 11570023 Non-linear neural network equalizer for high-speed data channel

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11570023
Date of Patent
January 31, 2023
Patent Application Number
17248658
Date Filed
February 2, 2021
Patent Citations
‌
US Patent 11050494 Signal-multiplexing apparatus and method based on machine learning
‌
US Patent 10833785 Processing communications signals using a machine-learning network
‌
US Patent 11270200 Single-step nonlinearity compensation using artificial intelligence for digital coherent transmission systems
‌
US Patent 10038575 Decision feedback equalizer with post-cursor non-linearity correction
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US Patent 10797805 Optimized frequency searching for simultaneously received packet detection
Patent Citations Received
‌
US Patent 11990922 Bandwidth constrained communication systems with neural network based detection
0
Patent Primary Examiner
‌
Freshteh N Aghdam
CPC Code
‌
H04L 25/03057
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H04L 25/0254
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H04L 25/00
‌
H04L 25/0202

A receiver for use in a data channel on an integrated circuit device includes a non-linear equalizer having as inputs digitized samples of signals on the data channel, decision circuitry configured to determine from outputs of the non-linear equalizer a respective value of each of the signals, and adaptation circuitry configured to adapt parameters of the non-linear equalizer based on respective ones of the value. The non-linear equalizer may be a neural network equalizer, such as a multi-layer perceptron neural network equalizer, or a reduced complexity multi-layer perceptron neural network equalizer. A method for detecting data on a data channel on an integrated circuit device includes performing non-linear equalization of digitized samples of input signals on the data channel, determining from output signals of the non-linear equalization a respective value of each of the output signals, and adapting parameters of the non-linear equalization based on respective ones of the value.

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