Results 31 to 40 of about 1,610,949 (112)
Computation of Graph Fourier Transform Centrality Using Graph Filter
In 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
doaj +1 more source
Graph-Based EEG Signal Compression for Human–Machine Interaction
Communication of bioelectric signals, such as electroencephalography (EEG) signals, will be a key technology for smooth interaction between users and remote robots.
Takuya Fujihashi, Toshiaki Koike-Akino
doaj +1 more source
Perovskite hydrides are emerging as promising solid‐state hydrogen storage materials with tunable composition, structural versatility, and reversible hydrogen uptake. First‐principles DFT calculations offer important insights into their stability, electronic structure, thermodynamics, and storage performance.
Fikadu Takele Geldasa +1 more
wiley +1 more source
Maintaining power quality (PQ) and minimizing carbon emissions are crucial for sustainable smart grids, especially with increasing renewable energy integration. This paper proposes a novel method combining Adaptive Q‐Wavelet Transform (AQWT) and Kalman Filtering (KF) to predict PQ disturbances and faults while analyzing their impact on carbon emissions.
Abhishek Raj +9 more
wiley +1 more source
A Graph Signal Processing Approach to the Characterization of Xe‐133 Atmospheric Background
Abstract The geopolitical context advocates for monitoring nuclear activities within an international framework. In this context, the Comprehensive Nuclear‐Test‐Ban Treaty Organization has established measurement stations, known as the International Measurement System (IMS).
M. Atiq, S. Oger, P. Achim
wiley +1 more source
Graph Fourier transform based on singular value decomposition of directed Laplacian
Graph Fourier transform (GFT) is a fundamental concept in graph signal processing. In this paper, based on singular value decomposition of Laplacian, we introduce a novel definition of GFT on directed graphs, and use singular values of Laplacian to carry
Sun, Qiyu, Cheng, Cheng, Chen, Yang
core
This paper presents an admittance‐informed Bayesian‐Optimised Graph Convolutional Network (BO‐GCN) for fast three‐phase power flow evaluation in distribution systems with high renewable penetration. By embedding electrical connectivity through neighbourhood aggregation weighted by coupling strengths and employing a physically structured decoder with ...
Amir Hossein Baharvand +2 more
wiley +1 more source
Graph‐Based Spectrum Sensing via Quadratic Form of Adjacency Matrix
This graphical abstract presents a graph‐signal‐processing‐based spectrum sensing algorithm for robust primary user detection at low signal‐to‐noise ratios (SNR). The observed signal is preprocessed via power spectrum calculation and block summation, and then transformed into a graph.
Yan Gao, Guobing Hu, Yunfei Chen
wiley +1 more source
Graph Fourier Transform Enhancement through Envelope Extensions [PDF]
Many real-world networks are characterized by directionality; however, the absence of an appropriate Fourier basis hinders the effective implementation of graph signal processing techniques.
Dakovic, Milos +3 more
core +1 more source
Doppler Shift Estimation Method for Frequency Diverse Array Radar Based on Graph Signal Processing
In this paper, a novel Doppler shift estimation method for frequency diverse array (FDA) radar based on graph signal processing (GSP) theory is proposed and investigated. First, a well-designed graph signal model for a monostatic linear FDA is formulated.
Ningbo Xie +5 more
doaj +1 more source

