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Robust Graph Signal Processing in the Presence of Uncertainties on Graph Topology

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2018
In this paper we address the problem of analyzing signals defined over graphs whose topology is known only with some uncertainty about the presence/absence of some edges. This situation arises in all cases where edges are associated to a set of elements (vertices), but the association rule may be affected by errors.
Ceci E., Barbarossa S.
openaire   +1 more source

Distributed signal processing with graph spectral dictionaries

2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2015
We study the distributed processing of graph signals that are well represented by graph spectral dictionaries. We first analyze the impact of quantization noise in the distributed computation of polynomial dictionary operators that are commonly used in various signal processing tasks.
Thanou, Dorina, Frossard, Pascal
openaire   +2 more sources

Introduction to Graph Signal Processing

2022
An intuitive and accessible text explaining the fundamentals and applications of graph signal processing. Requiring only an elementary understanding of linear algebra, it covers both basic and advanced topics, including node domain processing, graph signal frequency, sampling, and graph signal representations, as well as how to choose a graph ...
openaire   +1 more source

Graph Signal Processing and Applications: A Survey

2022 IEEE International Conference on Consumer Electronics (ICCE), 2022
William C. da Rosa   +3 more
openaire   +1 more source

Definition of a Graph Cepstrum for Homomorphic Processing of Graph Signals

2023 31st Signal Processing and Communications Applications Conference (SIU), 2023
Özge Canli Usta, Olcay Akay
openaire   +2 more sources

Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review

IEEE Reviews in Biomedical Engineering, 2023
Rui Li   +2 more
exaly  

Filter in Graph Signal Processing

In Signal Processing a Filter is a device or process that removes or suppresses some unwanted components or features from a signal. Most often this means removing some frequencies or frequency bands; however, many other targets for filtering exist.
Dhanya E, Gigi Thomas, Jill Mathew K
openaire   +1 more source

Graph Signal Processing for Heterogeneous Change Detection

IEEE Transactions on Geoscience and Remote Sensing, 2022
Dongdong Guan, Yuli Sun
exaly  

Graph Signal Processing for Geometric Data and Beyond: Theory and Applications

IEEE Transactions on Multimedia, 2022
Dong Tian, Pang Jiahao, Xianming Liu
exaly  

Facial Expression Recognition Using Graph Signal Processing on HOG

IETE Journal of Research, 2021
Shiv Joshi, Hemant Kumar Meena
exaly  

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