RCNet: $\Delta \Sigma$ IADCs as Recurrent AutoEncoders

Arnaud Verdant, William Guicquero, Jérôme Chossat

This paper proposes a deep learning model (RCNet) for Delta-Sigma ($\Delta \Sigma$) ADCs. Recurrent Neural Networks (RNNs) allow to describe both modulators and filters. This analogy is appli…