Date | 2023.7.7 (15:00 - Undecided) |
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Venue | |
Google Classroom Code | rrzlfkg |
Speaker | Dr. Antonio Ortega |
Affiliation | University of Southern California (U.S.A.) |
Title | "Graphs in signal processing and graph signal processing (GSP)" <Abstract> Decades before graph signal processing (GSP) became an active research area, graphs were used in signal and image processing applications. In this talk, I start by providing several examples of these applications, where graphs are (implicit or explicit) models for processing data rather than representations of a physical network (e.g., a road network). Then, using our recent work on graph filterbanks as motivation, I will argue that progress in GSP can open the way for new methods that can be applied to conventional signals. <Biography> Antonio Ortega is Dean's Professor of Electrical and Computer Engineering at the University of Southern California (USC). He received his undergraduate and doctoral degrees from Universidad Politécnica de Madrid, Madrid, Spain, and Columbia University, New York, NY. He is a Fellow of the IEEE and EURASIP. He has served as the Editor-in-Chief of the IEEE Transactions of Signal and Information Processing over Networks and as a member of the Board of Governors of the IEEE Signal Processing Society. He has received several paper awards, including the 2016 Signal Processing Magazine award. His recent research focuses on graph signal processing, machine learning, multimedia compression, and wireless sensor networks. He is the author of the book "Introduction to Graph Signal Processing" (Cambridge University Press, 2022). |
Language | English |
Intended for | Registration is required. |
Co-Organized by | Institute of Global Innovation Research "LIFE SCIENCE" Ishida Team Excellent Leader Development for Super Smart Society by New Industry Creation and Diversity |
Contact | Institute of Global Innovation Research, Institute of Engineering Associate Prof. Kohei Yatabe e-mail: yatabe(at)go.tuat.ac.jp |
Remarks | This seminar will be held both face-to-face and online concurrently. (Video streaming through Google Classroom later.) |
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