The virtual brain integrates computational modeling and multimodal neuroimaging
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 …
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
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 …
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 …
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 …
Huang Transform (HHT), as a kind of time-frequency analysis method, is proposed to …
EEG phase synchronization during hypnosis induction
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 …
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
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 …
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 …
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 …
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)
Surface electroenterogram (EEnG) recording is a novel technique for monitoring intestinal
motility non-invasively. However, surface EEnG recordings are contaminated by cardiac …
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 …
linear and non-stationary signal and array acoustic logging signals have time-varying …