Results 41 to 50 of about 622,624 (287)
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
doaj +1 more source
Gradients of connectivity as graph Fourier bases of brain activity
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
doaj +1 more source
Speaker verification method based on cross-domain attentive feature fusion
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
doaj +2 more sources
Adaptive sign algorithm for graph signal processing
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
openaire +2 more sources
Graph Sampling for Covariance Estimation
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
core +1 more source
A Multiscale Pyramid Transform for Graph Signals [PDF]
Multiscale transforms designed to process analog and discrete-time signals and images cannot be directly applied to analyze high-dimensional data residing on the vertices of a weighted graph, as they do not capture the intrinsic geometric structure of ...
Faraji, Mohammad Javad +2 more
core +2 more sources
Graph signal processing based pilot pattern design and channel estimation for OFDM system
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
doaj +2 more sources
GSD: An R package for graph signal decomposition
Graph 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
doaj +1 more source
Joint Vertex-Time Filtering on Graphs With Random Node-Asynchronous Updates
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
doaj +1 more source
Local-set-based Graph Signal Reconstruction
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
core +2 more sources

