Results 91 to 100 of about 17,389 (226)
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
The Hilbert Transform and its Applications in Computational finance [PDF]
, 2010 Made available in DSpace on 2011-01-21T22:51:17Z (GMT). No. of bitstreams: 2 Lin_Xiong.pdf: 1453819 bytes, checksum: 4a028ff8177cb78f4dc10f2a70057b95 (MD5) license.txt: 4056 bytes, checksum: 04b9c765a494d563e13d0380d64f98d9 (MD5)Item marked as restricted
Lin, Xiong
core
Rehaussement du signal de parole voisé par filtrage adaptatif des modes intrinsèques empiriques [PDF]
, 2010 In this paper a new method for voiced speech enhancement combining the Empirical Mode Decomposition (EMD) and the Adaptive Center Weighted Average (ACWA) filter is introduced.
TURKI, Monia +2 more
core +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
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
An Adaptive Hilbert-Huang Transform System [PDF]
, 2019 This thesis presents a system which can be used to generate Intrinsic Mode Functions and the associated Hilbert spectrum resulting from techniques based on the Empirical Mode Decomposition as pioneered by N. E. Huang at the end of the 20th century. Later
Letterman, Joshua
core +1 more source
Application of Hilbert-Huang Transform in Generating Spectrum-Compatible Earthquake Time Histories [PDF]
, 2011 Spectrum-compatible earthquake time histories have been widely used for seismic analysis and design. In this paper, a data processing method, Hilbert-Huang transform, is applied to generate earthquake time histories compatible with the target seismic ...
Wei-Chau Xie, Shun-Hao Ni, Mahesh Pandey
core +1 more source