Results 21 to 30 of about 1,423,064 (275)
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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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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Are there approximate fast fourier transforms on graphs? [PDF]
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 Signal processing on graphs is a recent research domain that seeks to extend classical signal processing tools such as the Fourier transform to irregular domains given by a graph. In such a graph setting, a way to rapidly apply the Fourier transform, i.e. a Fast Fourier Transform (FFT), is lacking.
Le Magoarou, Luc, Gribonval, Rémi
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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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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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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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Fast Incremental Spectral Clustering in Titanate Application via Graph Fourier Transform
IEEE Access, 2020 In numerous applications the rapid increase of data size with time makes classical clustering algorithms too slow because of the high computational cost.
Gao Shu-Juan
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Graph Fourier Transform: A Stable Approximation
IEEE Transactions on Signal Processing, 2020 In Graph Signal Processing (GSP), data dependencies are represented by a graph whose nodes label the data and the edges capture dependencies among nodes. The graph is represented by a weighted adjacency matrix $A$ that, in GSP, generalizes the Discrete Signal Processing (DSP) shift operator $z^{-1}$.
João Domingos, José M. F. Moura
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Graph Fourier transform based on directed Laplacian [PDF]
2016 International Conference on Signal Processing and Communications (SPCOM), 2016 5 ...
Rahul Singh 0002 +2 more
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