Results 101 to 110 of about 12,752 (151)
TreeWave: command line tool for alignment-free phylogeny reconstruction based on graphical representation of DNA sequences and genomic signal processing. [PDF]
BMC BioinformaticsBoumajdi N +3 more
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Ovarian development is driven by early spatiotemporal priming of the coelomic epithelium
Djari C +13 more
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2022 IEEE 19th India Council International Conference (INDICON), 2022
The paper deals with weighted vector visibility-based graph signal processing (WVV-GSP) to decode motor imagery tasks from multi-channel EEG signals, which plays a key role in developing brain-computer interface (BCI) systems. Initially, multichannel EEG
Priyanka Mathur +2 more
openaire +2 more sources
The paper deals with weighted vector visibility-based graph signal processing (WVV-GSP) to decode motor imagery tasks from multi-channel EEG signals, which plays a key role in developing brain-computer interface (BCI) systems. Initially, multichannel EEG
Priyanka Mathur +2 more
openaire +2 more sources
bioRxivIn magnetic resonance imaging, graph signal processing (GSP) is an analytical framework that enables to express regional functional activity time courses in terms of the underlying structural connectivity backbone. To this end, several parameters must be
T. Bolton +5 more
semanticscholar +2 more sources
Real-Time Unsupervised Nonintrusive Load Monitoring Based on Graph Signal Processing
IEEE Transactions on Instrumentation and MeasurementNonintrusive load monitoring (NILM) is an economical technology for promoting demand-side management (DSM) by offering electricity usage details. Driven by the fact that most existing NILM works do not support either real-time response or plug-and-play ...
Wenpeng Luan +5 more
semanticscholar +1 more source
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Spatial blurring phenomena in EEG scalp maps are strongly influenced by the topology of the acquisition domain. Together with the volume conduction effect, the positioning of the electrodes on the scalp is a key factor affecting the spatial resolution of
A. Ranieri +5 more
semanticscholar +1 more source
Spatial blurring phenomena in EEG scalp maps are strongly influenced by the topology of the acquisition domain. Together with the volume conduction effect, the positioning of the electrodes on the scalp is a key factor affecting the spatial resolution of
A. Ranieri +5 more
semanticscholar +1 more source
arXiv.org
We propose a fully spectral, neuro\-symbolic reasoning architecture that leverages Graph Signal Processing (GSP) as the primary computational backbone for integrating symbolic logic and neural inference.
A. Kiruluta
semanticscholar +1 more source
We propose a fully spectral, neuro\-symbolic reasoning architecture that leverages Graph Signal Processing (GSP) as the primary computational backbone for integrating symbolic logic and neural inference.
A. Kiruluta
semanticscholar +1 more source
IEEE Transactions on Signal and Information Processing over Networks, 2023
The least mean square (LMS) algorithm of the graph signal processing (GSP) based on the mean square error criterion has a poor reconstruction effect when the graph sampling signal is disturbed by impulse noise.
Haiquan Zhao, Wang Xiang, Shaohui Lv
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The least mean square (LMS) algorithm of the graph signal processing (GSP) based on the mean square error criterion has a poor reconstruction effect when the graph sampling signal is disturbed by impulse noise.
Haiquan Zhao, Wang Xiang, Shaohui Lv
semanticscholar +1 more source
Verifying the Smoothness of Graph Signals: A Graph Signal Processing Approach
IEEE Transactions on Signal Processing, 2023Graph signal processing (GSP) deals with the representation, analysis, and processing of structured data, i.e. graph signals that are defined on the vertex set of a generic graph.
Lital Dabush, T. Routtenberg
semanticscholar +1 more source
IEEE Sensors Journal
Graph signal processing (GSP), an emerging field, provides a flexible framework to model and analyze electroencephalogram (EEG) sensor data that exhibit intricate relationships and dependencies that traditional signal processing methods may not ...
K. Anuraj, Vivek Menon
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Graph signal processing (GSP), an emerging field, provides a flexible framework to model and analyze electroencephalogram (EEG) sensor data that exhibit intricate relationships and dependencies that traditional signal processing methods may not ...
K. Anuraj, Vivek Menon
semanticscholar +1 more source