Patent ID: 11923895
Assignee: TEKTRONIX, INC.
Field: Telecommunications (Electrical engineering)
Classification: CPC H | IPC H

Claim 16:
17. A method of training a machine learning system for tuning optical transceivers, comprising:
creating a predetermined number of sets of reference operating parameters;
repeating, for each set of reference operating parameters:
setting the operating parameters for the optical transceiver to a set of reference operating parameters by sending the reference operating parameters to the optical transceiver;
acquiring a waveform from the optical transceiver;
tuning the operating parameters of the optical transceiver to meet a desired output; and
performing transmitter dispersion eye closure quaternary (TDECQ) analysis on the waveform;

providing results of the analysis and the waveforms to a tensor builder;
sending one or more tensors to one or more neural networks with the associated waveforms and reference operating parameters; and
repeating the method until a sufficient number of transmitters have been tuned.