Results 31 to 40 of about 1,423,064 (275)

Error Estimates for Approximating the Fourier Transform of Functions of Bounded Variation [PDF]

, 2004
In this paper we point out an approximation for the Fourier transform for functions of bounded variation and study the approximation error of certain associated quadrature ...
Hanna, George T, Dragomir, Sever S, Barnett, Neil S   +2 more
core   +3 more sources

SFTGNN: An Efficient Spherical Fourier Transform-Enhanced Graph Neural Network for High-Accuracy Crystal Property Prediction [PDF]

ACS Omega
Zhen Jiang, Hua Tian
doaj   +2 more sources

Error Estimates on Approximating the Finite Fourier Transform of Complex-Valued Functions via a Pre-Grüss Inequality [PDF]

, 2004
Some estimates for the error in approximating the Finite Fourier Transform in terms of exponential means via a pre-Grüss inequality for complex-valued functions are ...
Hanna, George T, Roumeliotis, John, Dragomir, Sever S   +2 more
core   +3 more sources

Random fractional Fourier transform : stochastic perturbations along the axis of propagation [PDF]

, 1999
The fractional Fourier transform (FRT) is known to be optically implementable with use of a medium with a perfect radial quadratic-index profile. Using the quantum-mechanical operator formalism, we examine the effects on the FRT action of such a medium
Abe, Sumiyoshi, Sheridan, John T.
core   +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

Spectral Projector-Based Graph Fourier Transforms [PDF]

IEEE Journal of Selected Topics in Signal Processing, 2017
The paper presents the graph Fourier transform (GFT) of a signal in terms of its spectral decomposition over the Jordan subspaces of the graph adjacency matrix $A$. This representation is unique and coordinate free, and it leads to unambiguous definition of the spectral components ("harmonics") of a graph signal. This is particularly meaningful when $A$
Joya A. Deri, José M. F. Moura
openaire   +2 more sources

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

INDUCED DRAFT FAN DOMINANT FREQUENCY DETECTION USING SHORT-TIME FOURIER TRANSFORM METHOD

Rekayasa Mesin, 2023
Weak suction and large vibrations indicate an Induced Draft Fan (IDF) problem. The Fast Fourier Transform (FFT) method cannot be applied to non-stationary vibration signals.
Dedik Romahadi
doaj   +1 more source