A Neural Network for Forward and Inverse Nonlinear Fourier Transforms for Fiber Optic Communication
A Neural Network for Forward and Inverse Nonlinear Fourier Transforms for Fiber Optic Communication
We propose a neural network for both forward and inverse continuous nonlinear Fourier transforms, NFT and INFT respectively. We demonstrate the network's capability to perform NFT and INFT for a random mix of NFDM-QAM signals. The network transformations (NFT and INFT) exhibit true characteristics of these transformations; they are significantly …