Technical Program

Paper Detail

Paper IDC-3-1.2
Paper Title WINDOWED FRACTIONAL FOURIER TRANSFORM ON GRAPHS: FRACTIONAL TRANSLATION OPERATOR AND HAUSDORFF-YOUNG INEQUALITY
Authors Fang-Jia Yan, Wen-Biao Gao, Bing-Zhao Li, Beijing Institute of Technology, China
Session C-3-1: Recent devopments on signal processing theory and techniques in fractional Fourier and linear cannonical domain
TimeThursday, 10 December, 12:30 - 14:00
Presentation Time:Thursday, 10 December, 12:45 - 13:00 Check your Time Zone
All times are in New Zealand Time (UTC +13)
Topic Signal and Information Processing Theory and Methods (SIPTM): Special Session: Recent devopments on signal processing theory and techniques in fractional Fourier and linear cannonical domain
Abstract Designing transform method to identify and exploit structure in signals on weighted graphs is one of the key challenges in the area of signal processing on graphs. So we need to account for the intrinsic geometric structure of the underlying graph data domain. In this paper we generalize the windowed fractional Fourier transform to the graph setting. First we review the windowed fractional Fourier transform and introduce spectral graph theory. Then we define a fractional translation operator with interesting property for signals on graphs. Moreover, we use the operator to define a windowed graph fractional Fourier transform, and explore the reconstruction formula. Finally, the Hausdorff-Young inequality established on this new transform is obtained.