no code implementations • 4 May 2024 • Chen Shao, Elias Giacoumidis, Patrick Matalla, Jialei Li, Shi Li, Sebastian Randel, Andre Richter, Michael Faerber, Tobias Kaefer
We experimentally demonstrate a novel, low-complexity Fourier Convolution-based Network (FConvNet) based equalizer for 112 Gb/s upstream PAM4-PON.
no code implementations • 25 Apr 2024 • Chen Shao, Elias Giacoumidis, Shi Li, Jialei Li, Michael Faerber, Tobias Kaefer, Andre Richter
A frequency-calibrated SCINet (FC-SCINet) equalizer is proposed for down-stream 100G PON with 28. 7 dB path loss.
no code implementations • 5 Aug 2022 • Patrick Reiser, Marlen Neubert, André Eberhard, Luca Torresi, Chen Zhou, Chen Shao, Houssam Metni, Clint van Hoesel, Henrik Schopmans, Timo Sommer, Pascal Friederich
Machine learning plays an increasingly important role in many areas of chemistry and materials science, e. g. to predict materials properties, to accelerate simulations, to design new materials, and to predict synthesis routes of new materials.
