ADC neural modeling

The paper deals with a neural network-based approach for A/D converter (ADC) modeling. This approach is initially developed with reference to an ADC mathematical model, allowing the neural modeling to be properly setup. Subsequently, a neural model of a real ADC is identified and validated, highlighting the performance of the proposed approach in terms of ease of model building and result accuracy.