RCNet: $\hat{I}”\hat{I}\pounds$ IADCs as Recurrent AutoEncoders

Arnaud Verdant, William Guicquero, Jérôme Chossat

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