Computational complexity optimization of neural network-based equalizers in digital signal processing: a comprehensive approach
P Freire, S Srivallapanondh, B Spinnler… - Journal of Lightwave …, 2024 - ieeexplore.ieee.org
Experimental results based on offline processing reported at optical conferences
increasingly rely on neural network-based equalizers for accurate data recovery. However …
increasingly rely on neural network-based equalizers for accurate data recovery. However …
A Novel Adaptive PWL Equalizer using Soft-partition for DML-based PAM-6 Transmission
In IMDD systems, the nonlinear impairment caused by the interaction between the
transceiver and the fiber dispersion seriously reduces the signal-to-noise ratio (SNR) …
transceiver and the fiber dispersion seriously reduces the signal-to-noise ratio (SNR) …
DACNN-aided nonlinear equalizer for a probabilistic shaping coherent optical communication system
Y Li, H Chang, Q Zhang, R Gao, F Tian, Q Tian… - Applied Optics, 2024 - opg.optica.org
The probabilistic shaping (PS) technique is a key technology for fiber optic communication
systems to further approach the Shannon limit. To solve the problem that nonlinear …
systems to further approach the Shannon limit. To solve the problem that nonlinear …
Real-Time Implementation of Machine-Learning DSP
E Börjeson, K Liu, C Häger… - Optical Fiber …, 2024 - opg.optica.org
Real-Time Implementation of Machine-Learning DSP Page 1 Real-Time Implementation of
Machine-Learning DSP Erik Börjeson, Keren Liu, Christian Häger, and Per Larsson-Edefors …
Machine-Learning DSP Erik Börjeson, Keren Liu, Christian Häger, and Per Larsson-Edefors …
CNN-Based Equalization for Communications: Achieving Gigabit Throughput with a Flexible FPGA Hardware Architecture
To satisfy the growing throughput demand of data-intensive applications, the performance of
optical communication systems increased dramatically in recent years. With higher …
optical communication systems increased dramatically in recent years. With higher …