Results 21 to 30 of about 593 (116)
EURASIP Journal on Audio, Speech, and Music Processing, 2023 The paper uses the K-graphs learning method to construct weighted, connected, undirected multiple graphs, aiming to reveal intrinsic relationships of speech samples in the inter-frame and intra-frame. To benefit from the learned multiple graphs’ property
Tingting Wang +4 more
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Short-Time Prediction Model for Urban Traffic Flow Based on Joint Spatio-Temporal Learning [PDF]
Jisuanji gongcheng, 2023 A joint spatio-temporal analysis can reflect the changing pattern of a studied object in the spatio-temporal dimension, which is significant for revealing the spatio-temporal interactions and mechanisms of regional processes.With a focus on joint spatio ...
GE Yuran, FU Qiang
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Graph Signal Smoothness Based Feature Learning of Brain Functional Networks in Schizophrenia
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 In this paper we study the brain functional network of schizophrenic patients based on resting-state fMRI data. Different from the region of interest (ROI)-level brain networks that describe the connectivity between brain regions, this paper constructs a
Xiaoying Song, Li Chai
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NeuroImage, 2022 Brain signatures of functional activity have shown promising results in both decoding brain states, meaning distinguishing between different tasks, and fingerprinting, that is identifying individuals within a large group.
Alessandra Griffa +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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Denoising and Destriping Hyperspectral Images Using Double Graph Laplacian Regularizers
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 This article proposes a novel hyperspectral image (HSI) denoising and destriping method based on graph signal processing that fully exploits the HSI properties.
Fang Yang, Xin Chen, Zhi Zhang, Li Chai
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Speaker verification method based on cross-domain attentive feature fusion
Tongxin xuebao, 2023 Aiming at the problem that the lack of structure information among speech signal sample in the front-end acoustic features of speaker verification system, a speaker verification method based on cross-domain attentive feature fusion was proposed.Firstly ...
Zhen YANG +3 more
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Improving Event-Based Non-Intrusive Load Monitoring Using Graph Signal Processing
IEEE Access, 2018 Large-scale smart energy metering deployment worldwide and integration of smart meters within the smart grid will enable two-way communication between the consumer and energy network, thus ensuring improved response to demand.
Bochao Zhao +3 more
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Leak detection in water distribution networks based on graph signal processing of pressure data
Journal of Hydroinformatics, 2023 Leakages in water distribution networks (WDNs) affect the hydraulic state of the entire or a large part of the network. Statistical correlation computed among pressure sensors monitoring network nodes aids the detection and localization of such leaks ...
Daniel Bezerra Barros +3 more
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Graph signal processing based pilot pattern design and channel estimation for OFDM system
物联网学报, 2022 Orthogonal frequency division multiplexing (OFDM) is one of the key technologies in the physical layer of the internet of things (IoT).Pilot design and channel estimation are key issues in OFDM systems.In view of the problem of performance loss by fixed ...
Bin HE +3 more
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