A New Surrogating Algorithm by the Complex Graph Fourier Transform (CGFT) [PDF]
Entropy, 2019 The essential step of surrogating algorithms is phase randomizing the Fourier transform while preserving the original spectrum amplitude before computing the inverse Fourier transform.
Jordi Belda +4 more
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A Graph Fourier Transform Based Bidirectional Long Short-Term Memory Neural Network for Electrophysiological Source Imaging [PDF]
Frontiers in Neuroscience, 2022 Electrophysiological source imaging (ESI) refers to the process of reconstructing underlying activated sources on the cortex given the brain signal measured by Electroencephalography (EEG) or Magnetoencephalography (MEG).
Meng Jiao +8 more
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Graph Fourier transform for spatial omics representation and analyses of complex organs [PDF]
Nature CommunicationsSpatial omics technologies decipher functional components of complex organs at cellular and subcellular resolutions. We introduce Spatial Graph Fourier Transform (SpaGFT) and apply graph signal processing to a wide range of spatial omics profiling ...
Yuzhou Chang +15 more
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Research on a Wind Turbine Gearbox Fault Diagnosis Method Using Singular Value Decomposition and Graph Fourier Transform [PDF]
SensorsGearboxes operate in challenging environments, which leads to a heightened incidence of failures, and ambient noise further compromises the accuracy of fault diagnosis.
Lan Chen +3 more
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A social recommendation model based on adaptive residual graph convolution networks [PDF]
PeerJ Computer ScienceIncorporating social information in the recommendation algorithm based on graph neural network (GNN) alleviates the data sparsity and cold-start problems to a certain extent, and effectively improves the recommendation performance of the model.
Rui Chen +6 more
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A graph-based narrowband matched-field source localization method [PDF]
JASA Express Letters, 2021 Matched field processing (MFP) has been regarded as one of the most successful acoustical methods for positioning underwater sources. In this paper, the narrowband MFP method is combined with a recently developed framework—the graph signal processing ...
Peng Xiao, Jianmin Yang
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From Time–Frequency to Vertex–Frequency and Back
Mathematics, 2021 The paper presents an analysis and overview of vertex–frequency analysis, an emerging area in graph signal processing. A strong formal link of this area to classical time–frequency analysis is provided.
Ljubiša Stanković +5 more
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Graph Analysis Using Fast Fourier Transform Applied on Grayscale Bitmap Images
Information, 2021 There is spiking interest in graph analysis, mainly sparked by social network analysis done for various purposes. With social network graphs often achieving very large size, there is a need for capable tools to perform such an analysis.
Pawel Baszuro, Jakub Swacha
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SFTGNN: An Efficient Spherical Fourier Transform-Enhanced Graph Neural Network for High-Accuracy Crystal Property Prediction [PDF]
ACS OmegaZhen Jiang, Hua Tian
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Fast Spectral Approximation of Structured Graphs with Applications to Graph Filtering
Algorithms, 2020 To analyze and synthesize signals on networks or graphs, Fourier theory has been extended to irregular domains, leading to a so-called graph Fourier transform.
Mario Coutino +3 more
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