About the Lab

Welcome to the Signal Transformation, Analysis and Compression (STAC) Lab at the University of Southern California.

Our current research interests are focused on the theory of graph signal processing (GSP) and its applications, including 3D point clouds, image and video compression, sensor networks and machine learning.

The main goal of GSP is to extend conventional signal processing operations such as filtering and sampling to data associated with graphs. In some cases, graphs can represent physical networks (the Internet, sensor networks, electrical grids or the brain) or information networks (the world wide web, Wikipedia or online social networks). We are also interested in applications where there is no graph and one has to be selected first. Examples include image, video and 3D point cloud processing (graph nodes are pixels), as well as machine learning (each node is a data point in a data set).

Learn more about our research and publications.