Results 51 to 60 of about 5,521,232 (198)
Group-level component analyses of EEG: validation and evaluation
Multi-subject or group-level component analysis provides a data-driven approach to study properties of brain networks. Algorithms for group-level data decomposition of functional magnetic resonance imaging data have been brought forward more than a ...
Rene eHuster +5 more
doaj +1 more source
ABSTRACT Objective This study aimed to evaluate pre‐ and postoperative changes in the iridocorneal angle, ciliary cleft (CC), and ciliary muscle (CM) in canine eyes with intumescent cataracts using ultrasound biomicroscopy (UBM), with comparative reference to normal and non‐intumescent cataractous eyes.
Jiyi Hwang +7 more
wiley +1 more source
Blind Source Separation Combining Independent Component Analysis and Beamforming
We describe a new method of blind source separation (BSS) on a microphone array combining subband independent component analysis (ICA) and beamforming. The proposed array system consists of the following three sections: (1) subband ICA-based BSS section
Kurita Satoshi +5 more
doaj +1 more source
A Novel Source Number Estimator With Improved Degrees of Freedom
This paper proposes a new source number estimator with improved degrees of freedom for blind source separation, where the mixing matrix does not have the parameterized structure.
Qiao Su +4 more
doaj +1 more source
ABSTRACT Lucid dreaming, defined as the experience of becoming aware of dreaming while dreaming, offers a unique window into a state of consciousness characterised by a blending of the sensory vividness of REM sleep with the self‐awareness of wakefulness. While past functional imaging has shed light on the neural activity supporting lucid dreaming, the
Nicola De Pisapia +4 more
wiley +1 more source
Active source selection using Gap statistics for underdetermined blind source separation [PDF]
We address the problem of automatically determining the number of active sources in underdetermined blind source separation (BSS). A time-frequency approach to underdetermined BSS is exploited to discriminate the time-frequency structure of the measured ...
Yuhui Luo (834780) +1 more
core +5 more sources
LCS: A learnlet-based sparse framework for blind source separation
Blind source separation (BSS) plays a pivotal role in modern astrophysics by enabling the extraction of scientifically meaningful signals from multi-frequency observations.
Bonjean V. +3 more
doaj +1 more source
A developing literature explores the use of neurofeedback in the treatment of a range of clinical conditions, particularly ADHD and epilepsy, whilst neurofeedback also provides an experimental tool for studying the functional significance of endogenous ...
David James White +2 more
doaj +1 more source
This study explored the role of the class IIa histone deacetylase HDAC7 in hepatic inflammation and metabolic disease. Genetic approaches in mice revealed that myeloid HDAC7 drives hepatic inflammation and gene signatures associated with advanced chronic liver disease.
Yizhuo Wang +27 more
wiley +1 more source
Parallel feedback network architecture for blind source separation
The existing blind source separation (BSS) architectures are more often than not based upon software and thus not suitable for direct implementation on hardware. Presented is a parallel algorithm and architecture for a BSS based on parallel architecture.
Kim, Y, Jeong, H, H. Jeong, Y. Kim
core +1 more source

