Results 71 to 80 of about 35,758 (162)
Extreme-Point Symmetric Mode Decomposition Method for Data Analysis
, 2013 An extreme-point symmetric mode decomposition (ESMD) method is proposed to improve the Hilbert-Huang Transform (HHT) through the following prospects: (1) The sifting process is implemented by the aid of 1, 2, 3 or more inner interpolating curves, which ...
Li, Zong-Jun, Wang, Jin-Liang
core +1 more source
Earth and Space Science, Volume 13, Issue 4, April 2026.Abstract Obtaining broadband ground motion simulations consistent with observed records is essential for seismic modeling, and the key to achieving this lies in a physically reasonable source representation. Only a scientifically constrained broadband source can effectively generate broadband ground motions.
Wenjing Wang +3 more
wiley +1 more source
Imprint of the Quasi‐Biennial Oscillation on the Ionosphere and Thermosphere
Journal of Geophysical Research: Space Physics, Volume 131, Issue 4, April 2026.Abstract The Quasi‐Biennial Oscillation (QBO) is a dominant mode of stratospheric variability and is known to modulate the variability of the ionosphere‐thermosphere (IT) system. However, the extent of its influence on the ionosphere‐thermosphere system remains uncertain due to weak signals and confounding with similar periodicities in solar flux.
D. Singh, L. P. Goncharenko, S. R. Zhang
wiley +1 more source
Cutting force response in milling of Inconel: analysis by wavelet and Hilbert-Huang Transforms
Latin American Journal of Solids and StructuresWe study the milling process of Inconel. By continuously increasing the cutting depth we follow the system response and appearance of oscillations of larger amplitude.
Grzegorz Litak +2 more
doaj +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
Cross‐Modal Urban Sensing: Evaluating Sound–Vision Alignment Across Street‐Level and Aerial Imagery
Transactions in GIS, Volume 30, Issue 2, April 2026.ABSTRACT Environmental soundscapes carry rich ecological and social information, yet remain underutilized in geographic analysis. This study introduces a unified cross‐modal evaluation framework to examine how urban sounds align with visual representations from street‐level and aerial perspectives, and how different visual representation strategies ...
Pengyu Chen +3 more
wiley +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
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
Quantifying and Classifying Non‐Stationary Turbulence Under Sub‐Mesoscale Disturbances
Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.Abstract Non‐stationary turbulence induced by sub‐mesoscale disturbances can substantially bias flux estimates, yet is largely overlooked in existing evaluation frameworks. Using turbulence measurements over the heterogeneous Loess Plateau, we found that classical stationarity tests classify >60% of records containing clear submesoscale disturbances as
Yue Xu +7 more
wiley +1 more source