Abstract: This letter proposes a variational Bayesian sparse decision-feedback equalizer (VB-SDFE) based on the recursive least squares (RLS) algorithm for underwater acoustic communications. The ...
Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...
@article{Abdulaziz2024GMVAE, title = {A variational autoencoder for minimally-supervised pulse shape discrimination}, author = {Abdulaziz, Abdullah and Zhou, Jianxin and Fang, Ming and McLaughlin, ...
Quantum computing is an emerging paradigm that leverages the principles of quantum mechanics to solve computational problems beyond the reach of classical computers. This article provides an overview ...
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