A Graph Fourier Transform Based Bidirectional Long Short-Term Memory Neural Network for Electrophysiological Source Imaging [PDF]
Frontiers in Neuroscience, 2022 Electrophysiological source imaging (ESI) refers to the process of reconstructing underlying activated sources on the cortex given the brain signal measured by Electroencephalography (EEG) or Magnetoencephalography (MEG).
Meng Jiao +8 more
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A joint range–angle–velocity estimation algorithm for FDA-MIMO radar based on graph signal processing [PDF]
Scientific ReportsIn this paper, a novel Frequency Diverse Array–Multiple Input Multiple Output (FDA-MIMO) radar parameter estimation algorithm based on Graph Signal Processing (GSP) is proposed for joint range–angle–velocity estimation.
Qinlin Li +6 more
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Graph Layer Security: Encrypting Information via Common Networked Physics [PDF]
Sensors, 2022 The proliferation of low-cost Internet of Things (IoT) devices has led to a race between wireless security and channel attacks. Traditional cryptography requires high computational power and is not suitable for low-power IoT scenarios.
Zhuangkun Wei +4 more
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Integrating gated recurrent unit in graph neural network to improve infectious disease prediction: an attempt [PDF]
Frontiers in Public HealthObjectiveThis study focuses on enhancing the precision of epidemic time series data prediction by integrating Gated Recurrent Unit (GRU) into a Graph Neural Network (GNN), forming the GRGNN.
Xu-dong Liu +7 more
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Research on a Wind Turbine Gearbox Fault Diagnosis Method Using Singular Value Decomposition and Graph Fourier Transform [PDF]
SensorsGearboxes operate in challenging environments, which leads to a heightened incidence of failures, and ambient noise further compromises the accuracy of fault diagnosis.
Lan Chen +3 more
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Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation [PDF]
Brain InformaticsEEG/MEG source imaging (ESI) aims to find the underlying brain sources to explain the observed EEG or MEG measurement. Multiple classical approaches have been proposed to solve the ESI problem based on different neurophysiological assumptions. To support
Shihao Yang +5 more
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Decoding preparatory movement state-based motor imagery with multi layer energy decoder [PDF]
Journal of NeuroEngineering and RehabilitationBackground Motor imagery (MI) is a widely used paradigm in brain-computer interface (BCI) research due to its potential applications in areas such as motor rehabilitation.
Yuxin Zhang +4 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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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 +5 more
doaj +1 more source
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 +4 more
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