Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Antonio Ortega, a professor of electrical engineering at the University of Southern California, will lecture on graph signal processing at the University of Delaware’s Mitchell Hall Auditorium on ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Chapter 11 of this book “Digital Data Locked Loops“ is being made available as a series of design articles. The first part is available here. I have spent more than 30 years toil.ing away as a digital ...

As processors have steadily become faster and less expensive, systems with signal processing algorithms have increasingly been implemented as software running on a processor. One of the first steps in ...