mlsanityData to 7 Oct 2026

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

arXiv 2206.01004 ↗First posted 2 Jun 2022cs.IT eess.SP math.ITcited by 1

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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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 2 Jun 2022.

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