Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data [PDF]
IEEE AccessIdentifying relationships among multiple datasets is an effective way to summarize information and has been growing in importance. In this paper, we propose a robust 3-step method for identifying the relationship structure among multiple datasets based ...
Isabell Lehmann +5 more
doaj +2 more sources
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
Independent Vector Analysis Inspired Amateur Drone Detection Through Acoustic Signals
IEEE Access, 2021 Detection of amateur drones (AmDrs) is mandatory requirement of various defence organizations and is also required to protect human life. In literature, various researchers contributed in this regard and developed different algorithms utilizing video ...
Zahoor Uddin +3 more
doaj +2 more sources
Adaptive constrained independent vector analysis: An effective solution for analysis of large-scale medical imaging data. [PDF]
IEEE J Sel Top Signal Process, 2020 There is a growing need for flexible methods for the analysis of large-scale functional magnetic resonance imaging (fMRI) data for the estimation of global signatures that summarize the population while preserving individual-specific traits.
Bhinge S, Long Q, Calhoun VD, Adalı T.
europepmc +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
Independent Vector Analysis with More Microphones Than Sources [PDF]
2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019 We extend frequency-domain blind source separation based on independent vector analysis to the case where there are more microphones than sources. The signal is modelled as non-Gaussian sources in a Gaussian background. The proposed algorithm is based on a parametrization of the demixing matrix decreasing the number of parameters to estimate ...
Scheibler, Robin, Ono, Nobutaka
openaire +4 more sources
Independent Vector Analysis: Identification Conditions and Performance Bounds [PDF]
IEEE Transactions on Signal Processing, 2014 14 pages, 5 figures, in review for IEEE Trans.
Anderson, Matthew +3 more
openaire +4 more sources
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
doaj +2 more sources
High-Density Surface EMG Denoising Using Independent Vector Analysis
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020 High-density surface electromyography (HD-sEMG) can provide rich temporal and spatial information about muscle activation. However, HD-sEMG signals are often contaminated by power line interference (PLI) and white Gaussian noise (WGN). In the literature, independent component analysis (ICA) and canonical correlation analysis (CCA), as two popular used ...
Kun Wang +5 more
openaire +3 more sources
Independent vector analysis (IVA): Multivariate approach for fMRI group study
NeuroImage, 2008 Independent component analysis (ICA) of fMRI data generates session/individual specific brain activation maps without a priori assumptions regarding the timing or pattern of the blood-oxygenation-level-dependent (BOLD) signal responses. However, because of a random permutation among output components, ICA does not offer a straightforward solution for ...
Jong-Hwan, Lee +3 more
openaire +4 more sources