Independent Vector Analysis for Feature Extraction in Motor Imagery Classification [PDF]
SensorsIndependent vector analysis (IVA) can be viewed as an extension of independent component analysis (ICA) to multiple datasets. It exploits the statistical dependency between different datasets through mutual information.
Caroline Pires Alavez Moraes +4 more
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Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia [PDF]
NeuroImage, 2020 The extraction of common and distinct biomedical signatures among different populations allows for a more detailed study of the group-specific as well as distinct information of different populations.
Qunfang Long +3 more
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An Acoustic Signal Enhancement Method Based on Independent Vector Analysis for Moving Target Classification in the Wild [PDF]
Sensors, 2017 In this paper, we study how to improve the performance of moving target classification by using an acoustic signal enhancement method based on independent vector analysis (IVA) in the unattended ground sensor (UGS) system.
Qin Zhao +5 more
doaj +2 more sources
Quantifying motor recovery after stroke using independent vector analysis and graph-theoretical analysis [PDF]
NeuroImage: Clinical, 2015 The assessment of neuroplasticity after stroke through functional magnetic resonance imaging (fMRI) analysis is a developing field where the objective is to better understand the neural process of recovery and to better target rehabilitation ...
Jonathan Laney +3 more
doaj +2 more sources
Adaptive step size independent vector analysis for blind source separation [PDF]
, 2020 In this paper, a novel adaptive step size independent vector analysis (ASS-IVA) method is proposed for blind source separation. Independent vector analysis (IVA) can successfully solve the classical permutation problem in the blind source separation (BSS)
Liang, Y, Chambers, JA, Naqvi, SM
core +3 more sources
A geometrically constrained independent vector analysis algorithm for online source extraction [PDF]
, 2022 S.396-403In this paper, an online constrained independent vector analysis (IVA) algorithm that extracts the desired speech signal given the direction of arrival (DOA) of the desired source and the array geometry is proposed.
Taseska, Maja +2 more
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INDEPENDENT VECTOR ANALYSIS USING SEMI-PARAMETRIC DENSITY ESTIMATION VIA MULTIVARIATE ENTROPY MAXIMIZATION [PDF]
, 2021 Due to the wide use of multi-sensor technology, analysis of multiple sets of data is at the heart of many challenging engineering problems. Independent vector analysis (IVA), a recent generalization of independent component analysis (ICA), enables the ...
Adali, Tulay +3 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
doaj +1 more source
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
Overdetermined independent vector analysis [PDF]
, 2020 We address the convolutive blind source separation problem for the (over-)determined case where (i) the number of nonstationary target-sources $K$ is less than that of microphones $M$, and (ii) there are up to $M - K$ stationary Gaussian noises that need
Ikeshita, Rintaro +5 more
core +2 more sources