|Google Classroom コード||rrzlfkg|
|講演者||Dr. Antonio Ortega|
|講演タイトル||"Graphs in signal processing and graph signal processing (GSP)"
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.
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).
|共催||グローバルイノベーション研究院 ライフサイエンス分野 石田チーム
|お問い合わせ窓口||グローバルイノベーション研究院・工学研究院 矢田部 浩平
e-mail: yatabe（ここに@ を入れてください）go.tuat.ac.jp