Results 11 to 20 of about 624,379 (287)
Graph Signal Processing: Overview, Challenges and Applications [PDF]
Proceedings of the IEEE, 2018 Research in Graph Signal Processing (GSP) aims to develop tools for processing data defined on irregular graph domains. In this paper we first provide an overview of core ideas in GSP and their connection to conventional digital signal processing.
Frossard, Pascal +4 more
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Radio Map Interpolation using Graph Signal Processing [PDF]
IEEE Communications Letters, 2018 Interpolating a radio map is a problem of great relevance in many scenarios such as network planning, network optimization and localization. In this work such a problem is tackled by leveraging recent results from the emerging field of signal processing ...
Redondi, ALESSANDRO ENRICO CESARE
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Graph Signal Processing: Vertex Multiplication [PDF]
IEEE Signal Processing Letters, 2021 9 pages, 2 ...
Bunyamin Kartal +2 more
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Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals [PDF]
IEEE Signal Processing Magazine, 2020 The emerging field of graph signal processing (GSP) allows one to transpose classical signal processing operations (e.g., filtering) to signals on graphs. The GSP framework is generally built upon the graph Laplacian, which plays a crucial role in studying graph properties and measuring graph signal smoothness.
Miljan Petrovic +3 more
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Stationary Signal Processing on Graphs [PDF]
IEEE Transactions on Signal Processing, 2017 Graphs are a central tool in machine learning and information processing as they allow to conveniently capture the structure of complex datasets. In this context, it is of high importance to develop flexible models of signals defined over graphs or networks.
Perraudin, Nathanaël +1 more
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Harmonic state estimation based on graph signal processing
IET Generation, Transmission & Distribution, 2022 This paper presents a novel harmonic state estimation (HSE) methodology based on graph signal processing. The proposed approach can perform HSE without calculating harmonic impedance. The proposed methodology involves graph signal theory for constructing
Ying Wang +5 more
doaj +1 more source
Gene selection for cancer detection using graph signal processing
Informatics in Medicine Unlocked, 2021 Background:: Gene databases are usually large in volume and contain information on thousands of genes. The data are numerical and represent the expression levels of the genes.
Wei Wang +3 more
doaj +1 more source
Correlation-Based Graph Smoothness Measures In Graph Signal Processing
2023 31st European Signal Processing Conference (EUSIPCO), 2023 Publisher Copyright: © 2023 European Signal Processing Conference, EUSIPCO. All rights reserved.
Vorobyov, Sergiy A. +4 more
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Random-Walk Laplacian for Frequency Analysis in Periodic Graphs
Sensors, 2021 This paper presents the benefits of using the random-walk normalized Laplacian matrix as a graph-shift operator and defines the frequencies of a graph by the eigenvalues of this matrix.
Rachid Boukrab, Alba Pagès-Zamora
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Collaborative filtering via graph signal processing [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Huang, Weiyu +2 more
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