Results 101 to 110 of about 5,089 (226)
Brain Topography Method based on Hilbert-Huang Transform
Procedia Computer Science, 2017 Abstract The development of portable and wireless instruments that measure the electrical activity of the cerebral cortex (EEG) allows the capture and analysis of neurobiological signals in multiple applications. A lot of neurological, psychological and psychiatric disorders have been evaluated by EEG.
Felisa M. Córdova +2 more
openaire +1 more source
The Plant Genome, Volume 19, Issue 2, June 2026.Abstract Rice (Oryza sativa) is an important staple food, feeding more than half of the global population. A feasible improvement of rice yield is necessary to meet the ever–growing food demands. Genomic selection (GS), as an advanced breeding technique, enables the prediction of phenotypes solely based on genotypic data using a constructed genomic ...
Xiankang Hu +8 more
wiley +1 more source
Statistical Movement Classification based on Hilbert-Huang Transform [PDF]
, 2017 The goal of this project is to introduce an automatic movement classification technique of finger movement signals using Hilbert-Huang Transform (HHT).
Sun, Shanqi
core +1 more source
Advanced Feature Analysis of Eddy Current Testing Signals for Rail Surface Defect Characterization
IEEE AccessThe maintenance of the railways is of paramount importance for safe and reliable transport. Eddy Current Testing (ECT) provides high-resolution time-series signals that capture subtle anomalies on the rail surface. This paper expands on previous analyses
Michele Quercio +3 more
doaj +1 more source
Segmentation of Killer Whale Vocalizations Using the Hilbert-Huang Transform
EURASIP Journal on Advances in Signal Processing, 2008 The study of cetacean vocalizations is usually based on spectrogram analysis. The feature extraction is obtained from 2D methods like the edge detection algorithm.
Olivier Adam
doaj +1 more source
Covariance Estimation for Wide Data
WIREs Computational Statistics, Volume 18, Issue 2, June 2026.Covariance matrix estimation is fundamental to multivariate analysis, with applications spanning finance, genomics, climate science, and signal processing. This review synthesizes recent advances in high‐dimensional covariance estimation‐thresholding, linear and nonlinear shrinkage, graphical models, and random matrix theory‐under a unifying framework ...
Eran Raviv
wiley +1 more source
Permanent magnet synchronous machine stator windings fault detection by Hilbert–Huang transform
The Journal of Engineering, 2019 The Hilbert–Huang transform (HHT) is a time-frequency signal analysis method based on empirical mode decomposition and the Hilbert transform. It is well suited for reliable fault detection since it is unaffected by transient conditions which might cause ...
Fernando Alvarez-Gonzalez +3 more
doaj +1 more source
An HHT–ANN Framework for Short‐Term Kp Forecasting
Space Weather, Volume 24, Issue 6, June 2026.Abstract The geomagnetic activity index Kp is an important indicator of solar wind–magnetosphere coupling, and accurate 3‐hr‐ahead forecasting is important for space‐weather monitoring and warning. Because upstream solar wind and interplanetary magnetic field (IMF) signals are strongly nonlinear and nonstationary, methods based only on conventional ...
P. Yang +5 more
wiley +1 more source
Aeroelastic Flight Data Analysis with the Hilbert-Huang Algorithm [PDF]
, 2005 This paper investigates the utility of the Hilbert-Huang transform for the analysis of aeroelastic flight data. It is well known that the classical Hilbert transform can be used for time-frequency analysis of functions or signals.
Brenner, Marty +3 more
core +2 more sources
Gear Fault Diagnosis Method Based on Deep Transfer Learning
Jixie chuandong, 2023 Aiming at the problem of insufficient gear fault samples, a fault diagnosis method of transfer learning based on Hilbert-Huang spectrum and pre-trained VGG16 model is proposed.
Liu Shihao, Wang Xiyang, Gong Tingkai
doaj +2 more sources