Results 41 to 50 of about 35,860 (209)

Characterization of non-linear bearings using the Hilbert–Huang transform

open access: yesAdvances in Mechanical Engineering, 2015
Changes in the performance of bearings can significantly vary the distribution of internal forces and moments in a structure as a result of environmental or operational loads.
Arturo González, Hussein Aied
doaj   +1 more source

Hilbert-Huang Transform-based Local Regions Descriptors [PDF]

open access: yesProcedings of the British Machine Vision Conference 2007, 2007
This paper presents a new interest local regions descriptors method based on Hilbert-Huang Transform. The neighborhood of the interest local region is decomposed adaptively into oscillatory components called intrinsic mode functions (IMFs). Then the Hilbert transform is applied to each component and get the phase and amplitude information. The proposed
D. Han, W. Li, W. Guo, Z. Li
openaire   +1 more source

Performance evaluation of the Hilbert–Huang transform for respiratory sound analysis and its application to continuous adventitious sound characterization [PDF]

open access: yes, 2016
© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/The use of the Hilbert–Huang transform in the analysis of biomedical signals has increased during the past few years, but
Fiz Fernández, José Antonio   +2 more
core   +2 more sources

The Huang–Yang Formula for the Low‐Density Fermi Gas: Upper Bound

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We study the ground state energy of a gas of spin 1/2$1/2$ fermions with repulsive short‐range interactions. We derive an upper bound that agrees, at low density ϱ$\varrho$, with the Huang–Yang conjecture. The latter captures the first three terms in an asymptotic low‐density expansion, and in particular the Huang–Yang correction term of order
Emanuela L. Giacomelli   +3 more
wiley   +1 more source

Beyond Frequency Band Constraints in EEG Analysis: The Role of the Mode Decomposition in Pushing the Boundaries

open access: yesSignals, 2023
This study investigates the use of empirical mode decomposition (EMD) to extract intrinsic mode functions (IMFs) for the spectral analysis of EEG signals in healthy individuals and its possible biological interpretations. Unlike traditional EEG analysis,
Eduardo Arrufat-Pié   +5 more
doaj   +1 more source

Testing Distributional Granger Causality With Entropic Optimal Transport

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley   +1 more source

Nonlinear dance motion analysis and motion editing using Hilbert-Huang transform

open access: yes, 2017
Human motions (especially dance motions) are very noisy, and it is hard to analyze and edit the motions. To resolve this problem, we propose a new method to decompose and modify the motions using the Hilbert-Huang transform (HHT). First, HHT decomposes a
Asai, Nobuyoshi   +2 more
core   +1 more source

Climate change and crop resilience: harnessing metabolomics for predicting stress tolerance

open access: yesNew Phytologist, EarlyView.
Summarised methodology for metabolite biomarker discovery and genomic targets selection for those metabolites to predict high‐throughput phenotypic and agronomic traits of interest for direct uptake in breeding programmes. Summary Global warming is driving climate change to levels not experienced since the advent of agriculture, primarily due to ...
Agyeya Pratap   +3 more
wiley   +1 more source

Fourier, Wavelet, and Hilbert-Huang Transforms for Studying Electrical Users in the Time and Frequency Domain

open access: yesEnergies, 2017
The analysis of electrical signals is a pressing requirement for the optimal design of power distribution. In this context, this paper illustrates how to use a variety of numerical tools, such as the Fourier, wavelet, and Hilbert-Huang transforms, to ...
Vito Puliafito   +2 more
doaj   +1 more source

Methods for detection and characterization of signals in noisy data with the Hilbert-Huang Transform

open access: yes, 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

Home - About - Disclaimer - Privacy