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Math @ Duke
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Publications [#347671] of Henry Pfister
Papers Published
- Häger, C; Pfister, HD; Bütler, RM; Liga, G; Alvarado, A, Revisiting multi-step nonlinearity compensation with machine learning,
Iet Conference Publications, vol. 2019 no. CP765
(January, 2019)
(last updated on 2023/06/01)
Abstract: For the efficient compensation of fiber nonlinearity, one of the guiding principles appears to be: fewer steps are better and more efficient. We challenge this assumption and show that carefully designed multi-step approaches can lead to better performance-complexity trade-offs than their few-step counterparts.
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dept@math.duke.edu
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Mathematics Department
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