Graph Signal Processing and Applications: A Survey
William C. da Rosa, Pierre V. Dantas, S. S. Waldir, Celso B. Carvalho · 2022
Graph signal processing (GSP) is a field of research with many potential applications, specially in signals with irreg-ular structures. Graphs are structures that represent irregular data attributes. Signal processing approaches mainly focus on analyzing the underlying data. Given the increasing availability of multisensor and multinode measurements, recorded in irregular grids, it can be extremely advantageous to analyze data structured as “signals on graphs”. In this paper, we present a survey on applications and methods to solve problems in different areas of digital signal processing applying GSP.