Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm

Hung Duy Le, Huynh Van Luong, Nikos Deligiannis

We propose a new deep recurrent neural network (RNN) architecture for sequential signal reconstruction. Our network is designed by unfolding the iterations of the proximal gradient…