10 citations · 10 across the 3 of their papers we have counts for
4 papers · 1 filter
Divergence-Minimizing Distribution Matching for Parallel Channels and Channels with Memory
Francesca Diedolo, Gerhard Kramer
Theory for distribution matchers (DMs) is extended to distributions with memory. The divergence-minimizing DM is shown to select the sequences with the highest target probability,…
Neural Network Equalizers and Successive Interference Cancellation for Bandlimited Channels with a Nonlinearity
Daniel Plabst, Tobias Prinz, Francesca Diedolo +4
Neural networks (NNs) inspired by the forward-backward algorithm (FBA) are used as equalizers for bandlimited channels with a memoryless nonlinearity. The NN-equalizers are combine…
Neural Network-Based Successive Interference Cancellation for Non-Linear Bandlimited Channels
Daniel Plabst, Tobias Prinz, Francesca Diedolo +4
Reliable communication over bandlimited and non-linear channels usually requires equalization to simplify receiver processing. Equalizers that perform joint detection and decoding…
Nonlinear Equalization for Optical Communications Based on Entropy-Regularized Mean Square Error
Francesca Diedolo, Georg Böcherer, Maximilian Schädler +1
An entropy-regularized mean square error (MSE-X) cost function is proposed for nonlinear equalization of short-reach optical channels. For a coherent optical transmission experimen…