Verifying the smoothness of graph signals: A graph signal processing approach
L Dabush, T Routtenberg - IEEE Transactions on Signal …, 2024 - ieeexplore.ieee.org
Graph signal processing (GSP) deals with the representation, analysis, and processing of
structured data, ie graph signals that are defined on the vertex set of a generic graph. A …
structured data, ie graph signals that are defined on the vertex set of a generic graph. A …
A framework for predicting scientific disruption based on graph signal processing
H Yu, Y Liang - Information Processing & Management, 2024 - Elsevier
Abstracts Identifying scientific disruption is consistently recognized as challenging, and more
so is to predict it. We suggest that better predictions are hindered by the inability to integrate …
so is to predict it. We suggest that better predictions are hindered by the inability to integrate …
Graph signal processing and applications: A survey
WC da Rosa, PV Dantas, SS Waldir… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
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 …
specially in signals with irreg-ular structures. Graphs are structures that represent irregular …
Analyzing collective motion using graph fourier analysis
Collective motion in animal groups, such as swarms of insects, flocks of birds, and schools of
fish, are some of the most visually striking examples of emergent behavior. Empirical …
fish, are some of the most visually striking examples of emergent behavior. Empirical …