Results 41 to 50 of about 35,758 (162)
Signals, 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
Journal 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
, 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
New 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
Energies, 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
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
The Plant Genome, Volume 19, Issue 2, June 2026.Abstract Wheat (Triticum aestivum L.), a foundation of global food security, faces persistent threats from stripe rust caused by Puccinia striiformis f. sp. tritici (Pst). The pathogen thrives in cool and humid environments and regularly causes epidemics that lead to severe yield losses.
Farkhandah Jan +11 more
wiley +1 more source
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
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