Improving the Bootstrap of Blind Equalizers with Variational Autoencoders
arXiv:2301.06576
Abstract
We evaluate the start-up of blind equalizers at critical working points, analyze the advantages and obstacles of commonly-used algorithms, and demonstrate how the recently-proposed variational autoencoder (VAE) based equalizers can improve bootstrapping.
Accepted and to be presented at the Optical Fiber Communication Conference (OFC) 2023