Abstract
This chapter considers graph signal processing (GSP) that develops basic analysis tools for data structured by graphs or networks. We present concepts such as graph signal, graph shift, graph filtering, graph Fourier transform, graph frequency response, graph spectrum, and other methods from classical discrete signal processing, now extended to signals whose samples are indexed by the nodes of a graph.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
