Results 11 to 20 of about 184,341 (273)
Computation of Graph Fourier Transform Centrality Using Graph Filter
IEEE Open Journal of Circuits and SystemsIn this paper, the computation of graph Fourier transform centrality (GFTC) of complex network using graph filter is presented. For conventional computation method, it needs to use the non-sparse transform matrix of graph Fourier transform (GFT) to ...
Chien-Cheng Tseng, Su-Ling Lee
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A short-graph Fourier transform via personalized PageRank vectors [PDF]
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 The short-time Fourier transform (STFT) is widely used to analyze the spectra of temporal signals that vary through time. Signals defined over graphs, due to their intrinsic complexity, exhibit large variations in their patterns.
Sapiro, Guillermo, Tepper, Mariano
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Graph Fourier Transform Based Audio Zero-Watermarking [PDF]
IEEE Signal Processing Letters, 2021 The frequent exchange of multimedia information in the present era projects an increasing demand for copyright protection. In this work, we propose a novel audio zero-watermarking technology based on graph Fourier transform for enhancing the robustness with respect to copyright protection.
Longting Xu +4 more
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On the Graph Fourier Transform for Directed Graphs [PDF]
IEEE Journal of Selected Topics in Signal Processing, 2017 The analysis of signals defined over a graph is relevant in many applications, such as social and economic networks, big data or biological networks, and so on. A key tool for analyzing these signals is the so called Graph Fourier Transform (GFT). Alternative definitions of GFT have been suggested in the literature, based on the eigen-decomposition of ...
Sardellitti, Stefania +2 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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Graph Neural Network for Traffic Flow Situation Prediction
Jisuanji kexue yu tansuo, 2021 Road network structure integrated traffic flow situation prediction is a highly nonlinear and complexly spatial-temporal dynamic correlation time-series data prediction problem. However, traditional traffic flow situation forecasting methods cannot model
JIANG Shan, DING Zhiming, XU Xinrun, YAN Jin
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Graph Fourier transforms on directed product graphs
, 2022 Graph Fourier transform (GFT) is one of the fundamental tools in graph signal processing to decompose graph signals into different frequency components and to represent graph signals with strong correlation by different modes of variation effectively. The GFT on undirected graphs has been well studied and several approaches have been proposed to define
Cheng, Cheng +3 more
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Geary’s c and Spectral Graph Theory
Mathematics, 2021 Spatial autocorrelation, of which Geary’s c has traditionally been a popular measure, is fundamental to spatial science. This paper provides a new perspective on Geary’s c.
Hiroshi Yamada
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A Fast Fourier Transform for the Johnson Graph
Journal of Fourier Analysis and Applications, 2022 21 pages, 8 figures.
Rodrigo Iglesias, Mauro Natale
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Fast Discrete Fourier Transform Computations Using the Reduced Adder Graph Technique
EURASIP Journal on Advances in Signal Processing, 2007 It has recently been shown that the n-dimensional reduced adder graph (RAG-n) technique is beneficial for many DSP applications such as for FIR and IIR filters, where multipliers can be grouped in multiplier blocks.
Andrew G. Dempster +2 more
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