Results 21 to 30 of about 163,050 (112)
Multilayer graph spectral analysis for hyperspectral images
EURASIP Journal on Advances in Signal Processing, 2022 Hyperspectral imaging has broad applications and impacts in areas including environmental science, weather, and geo/space exploration. The intrinsic spectral–spatial structures and potential multi-level features in different frequency bands make ...
Songyang Zhang, Qinwen Deng, Zhi Ding
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On the Fractionalization of the Shift Operator on Graphs
IEEE Access, 2022 The theory of graph signal processing has been established with the purpose of generalizing tools from classical digital signal processing to the cases where the signal domain can be modeled by an arbitrary graph.
Guilherme B. Ribeiro +2 more
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Pavement Distress Estimation via Signal on Graph Processing
Sensors, 2022 A comprehensive representation of the road pavement state of health is of great interest. In recent years, automated data collection and processing technology has been used for pavement inspection. In this paper, a new signal on graph (SoG) model of road
Salvatore Bruno +4 more
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Harmonic state estimation based on graph signal processing
IET Generation, Transmission & Distribution, 2022 This paper presents a novel harmonic state estimation (HSE) methodology based on graph signal processing. The proposed approach can perform HSE without calculating harmonic impedance. The proposed methodology involves graph signal theory for constructing
Ying Wang +5 more
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Gene selection for cancer detection using graph signal processing
Informatics in Medicine Unlocked, 2021 Background:: Gene databases are usually large in volume and contain information on thousands of genes. The data are numerical and represent the expression levels of the genes.
Wei Wang +3 more
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Spatio‐temporal signal recovery under diffusion‐induced smoothness and temporal correlation priors
IET Signal Processing, 2022 In this work, the signal recovery problem regarding incomplete and noisy spatio‐temporal signals is studied. A spatio‐temporal signal is considered as a time‐varying graph signal and a diffusion‐induced first‐order Markov signal model is developed to ...
Shiyu Zhai +3 more
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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
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A graph-based narrowband matched-field source localization method [PDF]
JASA Express Letters, 2021 Matched field processing (MFP) has been regarded as one of the most successful acoustical methods for positioning underwater sources. In this paper, the narrowband MFP method is combined with a recently developed framework—the graph signal processing ...
Peng Xiao, Jianmin Yang
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Multi-level Pipeline Scheduling Algorithm in Heterogeneous Signal Processing Platform [PDF]
Jisuanji gongcheng, 2018 The existing real-time task scheduling algorithm do not consider the difference of node computing power in system heterogeneity,which leads to the imbalance of task partition.Therefore,according to the characteristics of real-time task in the ...
YANG Pingping,YUE Chunsheng,HU Zeming
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Graph Regularization Methods in Soft Detector Fusion
IEEE Access, 2023 This paper presents a theoretical derivation of two new graph-based regularization methods for fusing the individual results of multiple detectors (two-class classifiers).
Addisson Salazar +3 more
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