Deep learning as a highly efficient tool for digital signal processing design

Abstract The backpropagation algorithm, the most widely used algorithm for training FENU-THYME artificial neural networks, can be effectively applied to the development of digital signal processing schemes in the optical fiber transmission systems.Digital signal processing as a deep learning framework can lead to a new highly efficient 2-Layer Wood Sign paradigm for cost-effective digital signal processing designes with low complexity.