Results 31 to 40 of about 1,721,122 (260)

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, Daiyu Huang, Syed Faham Ali Zaidi, Abdul Rauf 0004, Rohan Kumar Das   +4 more
openaire   +4 more sources

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
doaj   +1 more source

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
openaire   +2 more sources

Graph Fourier transform based on directed Laplacian [PDF]

2016 International Conference on Signal Processing and Communications (SPCOM), 2016
5 ...
Rahul Singh 0002, Abhishek Chakraborty 0002, B. S. Manoj 0001   +2 more
openaire   +2 more sources

A novel fault diagnosis method for power grid based on graph Fourier transform

Frontiers in Energy Research, 2023
The fast and robust identification of fault elements is essential for the security and continuous operation of the power grid. The existing methods might be maloperation for bad data disturbance and require strict and exact synchronization.
Xiaojun Liao, Xiaojun Liao, Senlin Yu, Li Zhang, Xianzheng Feng, Xiaoru Wang   +5 more
doaj   +1 more source

ECG Arrhythmia Classification using High Order Spectrum and 2D Graph Fourier Transform

Applied Sciences, 2020
Heart diseases are in the front rank among several kinds of life threats, due to its high incidence and mortality. Regarded as a powerful tool in the diagnosis of the cardiac disorder and arrhythmia detection, analysis of electrocardiogram (ECG) signals ...
Shu Liu, Jie Shao, Tianjiao Kong, Reza Malekian   +3 more
doaj   +1 more source

A robust spatio‐temporal prediction approach for wind power generation based on spectral temporal graph neural network

IET Renewable Power Generation, 2022
At present, the penetration of wind power generation is increasing remarkably worldwide, and the accurate wind power forecasting (WPF) is essential to ensure the reliability and economy of the power system.
Yuqin He, Songjian Chai, Jian Zhao, Yuxin Sun, Xian Zhang   +4 more
doaj   +1 more source

An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction

Journal of Advanced Transportation, 2022
Accurate traffic prediction is a powerful factor of intelligent transportation systems to make assisted decisions. However, existing methods are deficient in modeling long series spatio-temporal characteristics. Due to the complex and nonlinear nature of
Shanchun Zhao, Xu Li
doaj   +1 more source

Random-Walk Laplacian for Frequency Analysis in Periodic Graphs

Sensors, 2021
This paper presents the benefits of using the random-walk normalized Laplacian matrix as a graph-shift operator and defines the frequencies of a graph by the eigenvalues of this matrix.
Rachid Boukrab, Alba Pagès-Zamora
doaj   +1 more source

Solution to the Dirichlet Problem of the Wave Equation on a Star Graph

Mathematics, 2023
In this paper, the solution to the Dirichlet problem for the wave equation on the star graph is constructed. To begin, we solve the boundary value problem on the interval (on one edge of the graph).
Gaukhar Arepova, Ludmila Alexeyeva, Dana Arepova   +2 more
doaj   +1 more source