A mini-review of the authors' prior work on VAE-based blind equalization, FPGA-implemented CNN equalizers, and spiking neural network equalizers for optical communications.
Blind Frequency-Domain Equalization Using Vector-Quantized Variational Autoencoders
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
We propose a novel frequency-domain blind equalization scheme for coherent optical communications. The method is shown to achieve similar performance to its recently proposed time-domain counterpart with lower computational complexity, while outperforming the commonly used CMA-based equalizers.
fields
eess.SP 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications
A mini-review of the authors' prior work on VAE-based blind equalization, FPGA-implemented CNN equalizers, and spiking neural network equalizers for optical communications.