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12/13/2021
Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks
We present a simple, efficient "direct learning" approach to train Volte...
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12/09/2021
End-to-End Learning of Joint Geometric and Probabilistic Constellation Shaping
We present a novel autoencoder-based learning of joint geometric and pro...
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09/22/2021
On the Comparison of Single-Carrier vs. Digital Multi-Carrier Signaling for Long-Haul Transmission of Probabilistically Shaped Constellation Formats
We report on theoretical and experimental investigations of the nonlinea...
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05/18/2020
Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications
We investigate methods for experimental performance enhancement of auto-...
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05/18/2020
Optical Fiber Communication Systems Based on End-to-End Deep Learning
We investigate end-to-end optimized optical transmission systems based o...
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12/11/2019
Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model
We perform an experimental end-to-end transceiver optimization via deep ...
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04/11/2018