System and Method for Calibrating ADC Nonlinearities With Trained Machine-Learning Model

原文（中文）

A system includes a primary analog-to-digital converter (ADC) having an input electrically coupled to an input voltage, the primary ADC configured to sample the input voltage at a frequency and convert sampled input voltages to respective primary ADC digital outputs; and a trained calibration engine having an input electrically coupled to an output of the primary ADC, the trained calibration engine including a trained machine-learning (ML) model configured to correct each primary ADC digital output to a respective corrected digital output, the trained ML model having been trained with reference digital outputs from a reference ADC and training digital outputs from the primary ADC, the reference digital outputs representing ground-truth data for modeling the training digital outputs from the primary ADC.