Results 41 to 50 of about 624,379 (287)
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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Gradients of connectivity as graph Fourier bases of brain activity
Network Neuroscience, 2021 The application of graph theory to model the complex structure and function of the brain has shed new light on its organization, prompting the emergence of network neuroscience.
Giulia Lioi +4 more
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Graph Spectral Image Processing
, 2018 Recent advent of graph signal processing (GSP) has spurred intensive studies of signals that live naturally on irregular data kernels described by graphs (e.g., social networks, wireless sensor networks).
Cheung, Gene +3 more
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Joint Vertex-Time Filtering on Graphs With Random Node-Asynchronous Updates
IEEE Access, 2021 In graph signal processing signals are defined over a graph, and filters are designed to manipulate the variation of signals over the graph. On the other hand, time domain signal processing treats signals as time series, and digital filters are designed ...
Oguzhan Teke, Palghat P. Vaidyanathan
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Adaptive sign algorithm for graph signal processing
Signal Processing, 2022 Efficient and robust online processing technique of irregularly structured data is crucial in the current era of data abundance. In this paper, we propose a graph/network version of the classical adaptive Sign algorithm for online graph signal estimation under impulsive noise.
Yi Yan +2 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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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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Graph Sampling for Covariance Estimation
, 2017 In this paper the focus is on subsampling as well as reconstructing the second-order statistics of signals residing on nodes of arbitrary undirected graphs.
Chepuri, Sundeep Prabhakar, Leus, Geert
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GSD: An R package for graph signal decomposition
SoftwareXGraph signals residing on the vertices of a graph have recently gained prominence in research of various fields, including neural networks, social networks, traffic patterns, and sensors.
Hyeonglae Cho, Hee-Seok Oh, Donghoh Kim
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Local-set-based Graph Signal Reconstruction
, 2015 Signal processing on graph is attracting more and more attentions. For a graph signal in the low-frequency subspace, the missing data associated with unsampled vertices can be reconstructed through the sampled data by exploiting the smoothness of the ...
Gu, Yuantao, Liu, Pengfei, Wang, Xiaohan
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