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Blind Frequency-Domain Equalization Using Vector-Quantized Variational Autoencoders
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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.
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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.
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