Results 51 to 60 of about 17,389 (226)
Estimating the critical angle of top near‐surface layers on the Moon
Near Surface Geophysics, EarlyView.Abstract Near‐surface characterization of the lunar subsurface is essential for future exploration and infrastructure development, particularly for the construction of underground habitats that provide protection against radiation and micrometeorites. However, conventional seismic approaches for estimating subsurface properties typically rely on prior ...
Nelson Ricardo Coelho Flores Zuniga +1 more
wiley +1 more source
On the Hilbert-Huang Transform Theoretical Developments [PDF]
, 2005 One of the main heritage tools used in scientific and engineering data spectrum analysis is the Fourier Integral Transform and its high performance digital equivalent - the Fast Fourier Transform (FFT).
Hestnes, P. +11 more
core +2 more sources
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
Fault Identify of Bearing Using Enhanced Hilbert-Huang Transform [PDF]
, 2017 Today the maintenance and repair based on condition monitoring techniques of rotating equipment is one of the most important tools to prevent stopping of production and reduce the cost of maintenance and repair and the vibration analysis according to the
Ali Shakibazadeh +1 more
core +1 more source
New Hilbert-Huang transform associated with linear canonical transform
四川大学学报. 自然科学版, 2016 Hilbert-Huang transform is an efficient non-stationary signal analysis tool. In its processing, two aspects are included: (i) empirical mode decomposition; (ii) Hilbert spectral analysis.
LIU Lu-Bo, LUO Mao-Kang, LAI Li
doaj
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
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
Sparse Causal Dynamic Linear Regression
Journal of Time Series Analysis, EarlyView.ABSTRACT We develop a sparse causal dynamic regression framework for long multivariate time series. With very long time series, the potentially large number of lags and leads in a dynamic regression model often makes time‐domain estimation numerically unstable or intractable.
Rui Huang, Kung‐Sik Chan
wiley +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
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