Results 11 to 20 of about 622,624 (287)
Signal Processing on Simplicial Complexes With Vertex Signals
IEEE Access, 2022 In classical graph signal processing (GSP), the underlying topological structures are restricted in terms of dimensionality. A graph or a 1-complex is a combinatorial object that models binary relations, which do not directly capture complex high arity ...
Feng Ji, Giacomo Kahn, Wee Peng Tay
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Graph wavelet transform for image texture classification
IET Image Processing, 2021 Graph is a data structure that can represent complex relationships among data. Graph signal processing, unlike traditional signal processing, explicitly considers the structure and relationship among the signal samples.
Yu‐Long Qiao +4 more
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Graph signal processing based underwater image enhancement techniques
Engineering Science and Technology, an International Journal, 2022 This paper presents two new methods based on graph signal processing (GSP) techniques to enhance underwater images. The proposed schemes utilize the graph Fourier transform (GFT) and graph wavelet filterbanks in place of the conventional Fourier and ...
Shobha Sharma, Tarun Varma
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Multilayer graph spectral analysis for hyperspectral images
EURASIP Journal on Advances in Signal Processing, 2022 Hyperspectral imaging has broad applications and impacts in areas including environmental science, weather, and geo/space exploration. The intrinsic spectral–spatial structures and potential multi-level features in different frequency bands make ...
Songyang Zhang, Qinwen Deng, Zhi Ding
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On the Fractionalization of the Shift Operator on Graphs
IEEE Access, 2022 The theory of graph signal processing has been established with the purpose of generalizing tools from classical digital signal processing to the cases where the signal domain can be modeled by an arbitrary graph.
Guilherme B. Ribeiro +2 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
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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
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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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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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