Graph Fractional Hilbert Transform: Theory and Application
The graph Hilbert transform (GHT) is a key tool in constructing analytic signals and extracting envelope and phase information in graph signal processing.
Daxiang Li, Zhichao Zhang
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Design and Implementation of Reconfigurable Component in Signal Processing Platform [PDF]
In view of the problems of intercommunication between different communication devices and difficulties of software and hardware upgrading,with the purpose of improving the portability and sharing of components,according to the architecture of new ...
LI Dandan,MA Jinquan,YANG Pingping
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A Data Augmentation Scheme for Geometric Deep Learning in Personalized Brain–Computer Interfaces
Electroencephalography signals inherently deviate from the notion of regular spatial sampling, as they reflect the coordinated action from multiple distributed overlapping cortical networks.
Fotis P. Kalaganis +4 more
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Sensor networks let a farmer keep their eye on multiple locations in an agricultural field simultaneously but can be expensive to install, maintain and analyse.
Jurgen van den Hoogen +2 more
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Graph-Based EEG Signal Compression for Human–Machine Interaction
Communication of bioelectric signals, such as electroencephalography (EEG) signals, will be a key technology for smooth interaction between users and remote robots.
Takuya Fujihashi, Toshiaki Koike-Akino
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Apply Graph Signal Processing on NILM: An Unsupervised Approach Featuring Power Sequences. [PDF]
Zhao B, Li X, Luan W, Liu B.
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State Estimation in Partially Observable Power Systems via Graph Signal Processing Tools. [PDF]
Dabush L, Kroizer A, Routtenberg T.
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Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing. [PDF]
Sandini C +25 more
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Cortical Surface-Informed Volumetric Spatial Smoothing of fMRI Data via Graph Signal Processing. [PDF]
Behjat H, Westin CF, Aganj I.
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Identification of rail cracks based on path graph features and SVM
In order to improve the accuracy of rail crack identification, a new method based on path graph feature and support vector machine is proposed. This method uses graph signal processing and graph theory to transform the magnetic flux leakage signal of ...
Yunfei Ye, Kailun Ji, Ping Wang
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