4 datasets found

Graph Signal Processing has become a very useful framework for signal operations and representations defined on irregular domains. Exploiting transformations that are defined on...

The dataset used in the paper is a graph signal processing dataset, where the goal is to estimate a parameter vector of interest using a distributed adaptive network.

Signal-adapted tight frames on graphs

Gaussian Processes on Graphs via Spectral Kernel Learning