# Nonlinear Equalization for Optical Communications Based on Entropy-Regularized Mean Square Error

arXiv: https://arxiv.org/abs/2206.01004 · HTML: https://mlsanity.com/paper/2206.01004/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Jun 2022.

## Built on by (most cited first, 1 of 1)

- [Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation](https://mlsanity.com/paper/2408.02685/) (2024)

## Abstract (arXiv)

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 experiment, MSE-X achieves the same bit error rate as the standard MSE cost function and a significantly higher achievable information rate.