Results 71 to 80 of about 211 (100)

IVA using complex multivariate GGD : Application to fMRI analysis [PDF]

, 2019
Examples of complex-valued random phenomena in science and engineering are abound, and joint blind source separation (JBSS) provides an effective way to analyze multiset data.
Tülay Adali (6661664), Zois Boukouvalas (14621627), Qunfang Long (16785690), Rami Mowakeaa (16785687)   +3 more
core   +1 more source

Drone-assisted time-varying magnetic field analysis for fault diagnosis in grounding grids.

PLoS ONE
Grounding 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
doaj   +1 more source

Independent Vector Analysis for SSVEP Signal Enhancement,Detection, and Topographical Mapping [PDF]

, 2018
Steady state visual evoked potentials (SSVEPs)have been identified as an effective solution for brain computerinterface (BCI) systems as well as for neurocognitive investigations.SSVEPs can be observed in the scalp-based recordingsof electroencephalogram
Emge, Darren K...[et al.]
core  

Newton update based independent vector analysis with various source density models [PDF]

, 2022
Sokea signaalin käsittely tarkoittaa latenttien lähdesignaalien estimointia havaittujen sekoitesignaalien avulla, kun sekoitusympäristö on tuntematon. Riippumattomien komponenttien analyysi (ICA) on sokean signaalin käsittelyn menetelmä, jolla pyritään ...
Sipilä, Mika
core  

Fusion of Multitask fMRI Data with Constrained Independent Vector Analysis [PDF]

2025 59th Annual Conference on Information Sciences and Systems (CISS) Baltimore, MD, 19-21 March 2025Functional magnetic resonance imaging (fMRI) is a widely used neuroimaging tool for investigating brain function.
Yang, Hanlu, Vu, Trung, Kumbasar, Emin Erdem, Adali, Tulay, Calhoun, Vince D.   +4 more
core   +1 more source

Independent vector analysis with a generalized multivariate Gaussian source prior for frequency domain blind source separation [PDF]

Independent vector analysis (IVA) is designed to retain the dependency within individual source vectors, while removing the dependency between different source vectors.
Naqvi SM, Chambers JA, Liang Y, Chen G, Harris J   +4 more
core  

Implementation and Validation of Independent Vector Analysis [PDF]

, 2010
This Master’s Thesis was part of the project called Multimodalanalysis at the Depart-ment of Biomedical Engineering and Informatics at the Ume˚ University Hospital inUme˚ Sweden. The aim of the project is to develop multivariate measurement anda,analysis
Claesson, Kenji
core  

Auxiliary Function Independent Vector Analysis Using a Harmonic Clique Dependence Model [PDF]

, 2013
The problem of separating mixed signals using multiple sensors with little to no information about the source signals is known as Blind Source Separation (BSS). Many embedded systems, such as cell phones, have an audio environment which routinely suffers
Bezanson, Derrick English
core  

Joint Independent Subspace Analysis Using Second-Order Statistics [PDF]

, 2016
International audienceThis paper deals with a novel generalization of classical blind source separation (BSS) in two directions. First, relaxing the constraint that the latent sources must be statistically independent.
Jutten, Christian, Lahat, Dana
core   +1 more source

Joint Independent Subspace Analysis: Uniqueness and Identifiability [PDF]

, 2019
International audienceThis paper deals with the identifiability of joint independent subspace analysis (JISA). JISA is a recently-proposed framework that subsumes independent vector analysis (IVA) and independent subspace analysis (ISA).
Jutten, Christian, Lahat, Dana
core   +2 more sources