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
doaj +2 more sources
Graph Fourier transform for spatial omics representation and analyses of complex organs [PDF]
Nature CommunicationsSpatial omics technologies decipher functional components of complex organs at cellular and subcellular resolutions. We introduce Spatial Graph Fourier Transform (SpaGFT) and apply graph signal processing to a wide range of spatial omics profiling ...
Yuzhou Chang +15 more
doaj +2 more sources
Frequency-aware signal image representation and graph transformer learning for bearing fault diagnosis [PDF]
Frontiers in Artificial IntelligenceIntroductionRolling bearing fault diagnosis is essential for predictive maintenance because bearing failures can cause unexpected downtime, increased maintenance costs, and safety risks.
Sandhya Mitta, Poornima Nedunchezhian
doaj +2 more sources
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
doaj +2 more sources
A Reverse of the Cauchy-Bunyakovsky-Schwarz Integral Inequality for Complex-Valued Functions and Applications for Fourier Transform [PDF]
, 2004 A reverse of the Cauchy-Bunyakovsky-Schwarz integral inequality for complex-valued functions and applications for the finite Fourier transform are ...
Hanna, George T +2 more
core +7 more sources
Graph Fourier Transform Enhancement Through Envelope Extensions [PDF]
IEEE Transactions on Signal ProcessingMany real-world networks are characterized by directionality; however, the absence of an appropriate Fourier basis hinders the effective implementation of graph signal processing techniques. Inspired by discrete signal processing, where embedding a line digraph into a cycle digraph facilitates the powerful Discrete Fourier Transform for signal ...
Ali Bagheri Bardi +3 more
core +5 more sources
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
doaj +2 more sources
Radar matched filtering using the fractional fourier transform [PDF]
, 2010 -A matched filter is the optimal linear filter for maximizing the signal to noise ratio (SNR) in the presence of additive noise. Matched filters are commonly used in radar systems where the transmitted signal is known and may be used as a replica to be ...
Clemente, Carmine +2 more
core +4 more sources
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 +2 more
core +5 more sources
On the Graph Fourier Transform for Directed Graphs [PDF]
IEEE Journal of Selected Topics in Signal Processing, 2017 To appear in IEEE Journal of Selected Topics in Signal Processing ...
Sardellitti, Stefania +2 more
openaire +2 more sources