Results 21 to 30 of about 636 (117)
Neuroscience Informatics, 2022 Imagined Speech (IS) is the imagination of speech without using the tongue or muscles. In recent studies, IS tasks are increasingly investigated for the Brain-Computer Interface (BCI) applications. Electroencephalography (EEG) signals, which record brain
Aref Einizade +4 more
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GSP = DSP + Boundary Conditions -- The Graph Signal Processing Companion Model
, 2023 The paper presents the graph signal processing (GSP) companion model that naturally replicates the basic tenets of classical signal processing (DSP) for GSP. The companion model shows that GSP can be made equivalent to DSP 'plus' appropriate boundary conditions (bc) - this is shown under broad conditions and holds for arbitrary undirected or directed ...
Shi, John, Moura, Jose M. F.
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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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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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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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Apply Graph Signal Processing on NILM: An Unsupervised Approach Featuring Power Sequences
Sensors, 2023 As a low-cost demand-side management application, non-intrusive load monitoring (NILM) offers feedback on appliance-level electricity usage without extra sensors.
Bochao Zhao +3 more
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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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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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