Results 61 to 70 of about 98,906 (246)
A technique to Improve the Empirical Mode Decomposition in the Hilbert-Huang Transform [PDF]
, 2012 The Hilbert-based time-frequency analysis has promising capacity to reveal the time-variant behaviors of a system. To admit well-behaved Hilbert transforms, component decomposition of signals must be performed beforehand.
Chen, Yangbo, Feng, Maria Q.
core +2 more sources
Hilbert–Huang-Transform-Based Seismic Intensity Measures for Rocking Response Assessment
Applied Sciences, 2023 Structures that can uplift and rock under severe seismic excitations present remarkable stability without exhibiting damage. As such, rocking-response-based structural systems constitute a promising design practice.
Kosmas E. Bantilas +3 more
doaj +1 more source
An Algorithm for Improving Hilbert-Huang Transform [PDF]
, 2007 The Hilbert-Huang transform is viewed as a promising method to process the nonlinear and non-stationary signal. However, it hasn't been a general method in signal processing due to its some deficiencies. In this paper, an algorithm is proposed to resolve one of its deficiencies that the EMD will generate redundant IMFs at the low-frequency region. This
Song Guo, Guochang Gu, Changyou Li
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
Caracterización multicanal no lineal de señales EMG con la transformada Hilbert-Huang [PDF]
, 2009 En este documento se presenta una propuesta de caracterización multicanal no lineal y adaptativa de señales electromiográficas de superficie usando la transformada Hilbert-Huang, la cual es una técnica de procesamiento digital reciente basada en la ...
Castellanos Domínguez, César Germán +2 more
core
Methods for detection and characterization of signals in noisy data with the Hilbert-Huang Transform
, 2009 The Hilbert-Huang Transform is a novel, adaptive approach to time series analysis that does not make assumptions about the data form. Its adaptive, local character allows the decomposition of non-stationary signals with hightime-frequency resolution but ...
Alexander Stroeer +7 more
core +1 more source
A new view of nonlinear water waves: the Hilbert spectrum [PDF]
, 1999 We survey the newly developed Hilbert spectral analysis method and its applications to Stokes waves, nonlinear wave evolution processes, the spectral form of the random wave field, and turbulence.
Huang, Norden E. +2 more
core +1 more source
Classification and Identification of Underwater Target based on Sound Propagation
نشریه مهندسی دریا, 2018 This paper investigates an underwater noise target classification algorithm in order to identify vessels in shallow water. To this aim the Hilbert Huang transform has been used to extract features in order to be used in a classifier.
Hassan Sayyaadi +2 more
doaj
Carbohydrate‐Based Drug Discovery: Synthetic Strategies and Clinical Applications
Israel Journal of Chemistry, Volume 66, Issue 3, May 2026.The picture depicts the molecules discussed in the review. On the left side, the general scaffold of sugars is shown. Next to it are four carbohydrate‐based molecules, including remdesivir, islatravir, empagliflozin, and Globo‐H. Remdesivir and islatravir contain a substituted ribose ring attached to a modified nucleobase.
Stephan Scheeff +2 more
wiley +1 more source
Characterizing Intermittency of 4-Hz Quasi-periodic Oscillation in XTE J1550-564 using Hilbert-Huang Transform [PDF]
, 2015 We present the time-frequency analysis results based on the Hilbert-Huang transform (HHT) for the evolution of a 4-Hz low-frequency quasi-periodic oscillation (LFQPO) around the black hole X-ray binary XTE J1550-564. The origin of LFQPOs is still debated.
Chou, Yi +3 more
core +2 more sources