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Graph Signal Processing: techniques for processing of numerical data defined over irregular domain

Hold Date
2016-07-19 12:00〜2016-07-19 13:00
Lecture Room S W1-C-503, West Zone 1, Ito campus, Kyushu University
Object person
David Tay (Department of Engineering, La Trobe University)

Recently there has been increasing research activity is generalizing signal processing techniques for signals defined over regular domain to signals defined over irregular domains. Graph Signal Processing (GSP) is a merging of concepts from graph theory and traditional signal processing techniques such as FFT (Fast Fourier Transform) and FIR (Finite Impulse Response) filtering. In this talk some basic concepts and ideas in GSP are overviewed and a summary of some my research in graph wavelets and filter banks are also presented.