Live Demonstration: AI-Assisted High-Level Design of Sigma-Delta Modulators

This demo shows a toolbox for the optimization and automated high-level design of Analog-to-Digital Converters (ADCs). The tool integrates Artificial Neural Networks (ANNs) with behavioral simulation to optimize the high-level sizing process, mapping system-level specifications to building-block requirements. ANNs are trained to determine the optimal ADC architecture based on given specifications, as well as the ideal set of design parameters that meet these requirements. The ANN-generated designs are refined through iterative simulations to achieve the best figure of merit. The toolbox, applied to Sigma-Delta Modulators (Σ∆Ms), features a Graphical User Interface (GUI) implemented in MATLAB, which guides users through the entire process—from specifications to verification <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>