Introduction to Graph Signal Processing

An intuitive and accessible textbook covering both fundamentals and applications.

Sommario

1. Introduction; 2. Node domain processing; 3. Graph signal frequency-Spectral graph theory; 4. Sampling; 5. Graph signal representations; 6. How to choose a graph; 7. Applications; Appendix A. Linear algebra and signal representations; Appendix B. GSP with Matlab: the GraSP toolbox; References; Index.

Info autore

Antonio Ortega is a Professor of Electrical and Computer Engineering at the University of Southern California, and a Fellow of the IEEE.

Dettagli sul prodotto

• Autori: Antonio Ortega, Antonio (University of Southern California Ortega, Antonio (University of Southern California) Ortega, Ortega Antonio
• Editore: Cambridge University Press ELT
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 30.06.2022
• EAN: 9781108428132
• ISBN: 978-1-108-42813-2
• Pagine: 300
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Elettronica, elettrotecnica, telecomunicazioni; machine learning, TECHNOLOGY & ENGINEERING / Signals & Signal Processing, pattern recognition, Signal Processing, Image processing, Computer networking & communications, Digital signal processing (DSP), Computer networking and communications