Abstract: In this article, we present a highly accurate recurrent neural network (RNN) for behavioral modeling and digital predistortion (DPD) of radio frequency (RF) power amplifiers (PAs). We ...

Abstract: Feed-forward deep neural networks (DNNs) are the state of the art in timeseries forecasting. A particularly significant scenario is the causal one: when an arbitrary subset of variables of a ...