The virtual brain integrates computational modeling and multimodal neuroimaging

P Ritter, M Schirner, AR McIntosh, VK Jirsa - Brain connectivity, 2013 - liebertpub.com
Brain function is thought to emerge from the interactions among neuronal populations. Apart
from traditional efforts to reproduce brain dynamics from the micro-to macroscopic scales …

Hilbert–Huang transform based signal analysis for the characterization of gas–liquid two-phase flow

H Ding, Z Huang, Z Song, Y Yan - Flow measurement and instrumentation, 2007 - Elsevier
This paper reports the application of the Hilbert–Huang Transform (HHT) to the dynamic
characterization of gas–liquid two-phase flow in a horizontal pipeline. A differential pressure …

Hypnotizability-related integration of perception and action

G Carli, D Manzoni… - Cognitive …, 2008 - Taylor & Francis
Hypnotizability is a cognitive trait able to modulate many behavioural/physiological
processes and associated with peculiar functional characteristics of the frontal executive …

Power systems faults location with traveling wave based on Hilbert-Huang transform

Z Liguo, H Xu, J Jian, G Tianye… - … Conference on Energy …, 2009 - ieeexplore.ieee.org
Identification of the signal of traveling wave is the key for power line faults location. Hilbert-
Huang Transform (HHT), as a kind of time-frequency analysis method, is proposed to …

EEG phase synchronization during hypnosis induction

G Baghdadi, AM Nasrabadi - Journal of medical engineering & …, 2012 - Taylor & Francis
Hypnosis is a mental state or set of attitudes usually induced by a procedure known as
hypnotic induction. In order to provide the basic physiological conditions for potentially …

Identification of co-seismic ground motion due to fracturing and impact of the Tsaoling landslide, Taiwan

CY Kuo, KJ Chang, PW Tsai, SK Wei, RF Chen… - Engineering …, 2015 - Elsevier
Earthquakes can generate seismic disturbances that propagate vast distances and trigger
landslides that can achieve high-speeds. It remains difficult to identify the co-seismic ground …

Ensemble empirical mode decomposition with supervised cluster analysis

CY Kuo, SK Wei, PW Tsai - Advances in Adaptive Data Analysis, 2013 - World Scientific
Ensemble empirical mode decomposition (EEMD) is a noise-assisted data analysis method
which decomposes a signal into a collection of intrinsic mode functions (IMFs). There …

Empirical mode decomposition and blind source separation methods for antijamming with GPS signals

V Kamath, YC Lai, L Zhu, S Urval - Proceedings of IEEE/ION PLANS 2006, 2006 - ion.org
The spread-spectrum structure of GPS signals provides inherent jamming tolerance for GPS
receivers. In a hostile environment where jamming sites may be close to GPS users, a larger …

Combined method for reduction of high frequency interferences in surface electroenterogram (EEnG)

Y Ye-Lin, J Garcia-Casado, G Prats-Boluda… - Annals of biomedical …, 2010 - Springer
Surface electroenterogram (EEnG) recording is a novel technique for monitoring intestinal
motility non-invasively. However, surface EEnG recordings are contaminated by cardiac …

The filtering characteristics of HHT and its application in acoustic log waveform signal processing

Z Wang, L **ghua, Y Chongwang, L **aochun… - Applied …, 2009 - Springer
Array acoustic logging plays an important role in formation evaluation. Its data is a non-
linear and non-stationary signal and array acoustic logging signals have time-varying …