Results 261 to 270 of about 1,423,064 (275)

Slides: Graph Fourier Transform for Directed Graphs

Graph Fourier transform (GFT) is one of the fundamental tools in graph signal processing to decompose graph signals into different frequency components and effectively represent graph signals with strong correlations using various modes of variation.
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Graph Fourier transform based on ℓ1 norm variation minimization

Applied and Computational Harmonic Analysis, 2021
Chao Huang, Lihua Yang
exaly  

Graph Fourier Transforms on Signed Graphs

Proceedings of the 2024 12th International Conference on Communications and Broadband Networking
Yang Chen 0047, Menglin Wang, Changhao Li, Cheng Cheng 0003   +3 more
openaire   +2 more sources

Fourier transformations of hypergraphs and graphs

Cybernetics, 1981
Bandman, O. L., Markova, V. P.
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Fault diagnosis of rolling bearings using weighted horizontal visibility graph and graph Fourier transform

Measurement: Journal of the International Measurement Confederation, 2020
Shengwen Yin
exaly  

Neural Network Approximation of Graph Fourier Transform for Sparse Sampling of Networked Dynamics

ACM Transactions on Internet Technology, 2022
Zhuangkun Wei, Alessio Pagani, Weisi Guo   +2 more
exaly  

Graph Fourier transform based on singular value decomposition of the directed Laplacian

Sampling Theory, Signal Processing, and Data Analysis, 2023
Qiyu Sun, Sun Qiyu
exaly  

Multi-dimensional graph fractional Fourier transform and its application to data compression

2022
Bing-Zhao Li
exaly  

Astronomical Image Coding Based on Graph Fourier Transform

2023
Lingshan Li, Yan Zhao, Shigang Wang
openaire   +2 more sources

Method of flow graph simplification for the 16-point discrete Fourier transform

IEEE Transactions on Signal Processing, 2005
A M Grigoryan
exaly