Graph Signal Processing (GSP) extends classical signal processing to data defined on irregular domains represented by graphs. In GSP, measurements or features are treated as signals on the vertices of ...

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 ...

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 ...

The residue number system (RNS) offers a non-positional arithmetic framework in which integers are represented as sets of residues with respect to a chosen moduli set. In digital signal processing ...

System developers are obtaining more and more of their signal processing software from outside sources, making off-the-shelf software building blocks a vitally important element of the software ...