In this paper, we propose a novel nonconvex projected gradient descent method for spectral compressed sensing via symmetric factorization named Symmetric Hankel Projected Gradient Descent (SHGD), ...

Incorporating low-resolution finite-alphabet equalizers into all-digital base station architectures is a promising approach to enhance energy efficiency and cost-effectiveness in massive multi-user ...

A new publication from Opto-Electronic Advances; DOI 10.29026/oea.2024.230182 , discusses efficient stochastic parallel gradient descent training for on-chip optical processors.