Results 21 to 30 of about 27,806 (135)
Drone-assisted time-varying magnetic field analysis for fault diagnosis in grounding grids. [PDF]
PLoS ONEGrounding grids are essential for ensuring the safety of power substations, but their performance can degrade due to corrosion, fractures, or other faults.
Aamir Qamar, Zahoor Uddin
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Fasteriva: Update Rules for Independent Vector Analysis Based on Negentropy and the Majorize-Minimize Principle [PDF]
2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021 Algorithms for Blind Source Separation (BSS) of acoustic signals require efficient and fast converging optimization strategies to adapt to nonstationary signal statistics and time-varying acoustic scenarios. In this paper, we derive fast converging update rules from a negentropy perspective, which are based on the Majorize-Minimize (MM) principle and ...
Brendel, Andreas, Kellermann, Walter
openaire +2 more sources
Isolation of multiple electrocardiogram artifacts using independent vector analysis [PDF]
PeerJ Computer Science, 2023 Electrocardiogram (ECG) signals are normally contaminated by various physiological and nonphysiological artifacts. Among these artifacts baseline wandering, electrode movement and muscle artifacts are particularly difficult to remove.
Zahoor Uddin +4 more
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Frontiers in Neuroscience, 2023 IntroductionGroup information-guided independent component analysis (GIG-ICA) and independent vector analysis (IVA) are two methods that improve estimation of subject-specific independent components in neuroimaging studies.
Junlin Jing +5 more
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Tracing Evolving Networks Using Tensor Factorizations vs. ICA-Based Approaches
Frontiers in Neuroscience, 2022 Analysis of time-evolving data is crucial to understand the functioning of dynamic systems such as the brain. For instance, analysis of functional magnetic resonance imaging (fMRI) data collected during a task may reveal spatial regions of interest, and ...
Evrim Acar +5 more
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Grounding Grid Fault Diagnosis With Emphasis on Substation Electromagnetic Interference
IEEE Access, 2022 Grounding grid fault diagnosis is essential for the safe operation of a substation. However, the substation vicinity is highly electromagnetic. Therefore, the electromagnetic-based fault diagnosis is vulnerable to electromagnetic interference (EMI). This
Aamir Qamar +3 more
doaj +1 more source
Sensors, 2023 Joint blind source separation (JBSS) has wide applications in modeling latent structures across multiple related datasets. However, JBSS is computationally prohibitive with high-dimensional data, limiting the number of datasets that can be included in a ...
Mingyu Sun +6 more
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Hybrid Source Prior Based Independent Vector Analysis for Blind Separation of Speech Signals
IEEE Access, 2020 Blind Source Separation (BSS) application is a delinquent issue in a complex reverberant environment with changing room geometric dimensions and an increasing number of speech sources.
Junaid Bahadar Khan +3 more
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A seed-specific regulator of triterpene saponin biosynthesis in Medicago truncatula [PDF]
, 2020 Plants produce a vast array of defense compounds to protect themselves from pathogen attack or herbivore predation. Saponins are a specific class of defense compounds comprising bioactive glycosides with a steroidal or triterpenoid aglycone backbone. The
Arendt, Philipp +11 more
core +2 more sources
Frontiers in Human Neuroscience, 2020 Electroencephalogram (EEG)-based brain-computer interfaces (BCIs) can potentially enable people to non-invasively and directly communicate with others using brain activities.
Suguru Kanoga +3 more
doaj +1 more source