Hilbert transform in vibration analysis
M Feldman - Mechanical systems and signal processing, 2011 - Elsevier
This paper is a tutorial on Hilbert transform applications to mechanical vibration. The
approach is accessible to non-stationary and nonlinear vibration application in the time …
approach is accessible to non-stationary and nonlinear vibration application in the time …
A review on Hilbert‐Huang transform: Method and its applications to geophysical studies
Data analysis has been one of the core activities in scientific research, but limited by the
availability of analysis methods in the past, data analysis was often relegated to data …
availability of analysis methods in the past, data analysis was often relegated to data …
Evolution of land surface air temperature trend
The global climate has been experiencing significant warming at an unprecedented pace in
the past century,. This warming is spatially and temporally non-uniform, and one needs to …
the past century,. This warming is spatially and temporally non-uniform, and one needs to …
[HTML][HTML] Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks
Frequency-specific oscillations and phase-coupling of neuronal populations are essential
mechanisms for the coordination of activity between brain areas during cognitive tasks …
mechanisms for the coordination of activity between brain areas during cognitive tasks …
Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool
The EMD algorithm is a technique that aims to decompose into their building blocks
functions that are the superposition of a (reasonably) small number of components, well …
functions that are the superposition of a (reasonably) small number of components, well …
Complementary ensemble empirical mode decomposition: A novel noise enhanced data analysis method
JR Yeh, JS Shieh, NE Huang - Advances in adaptive data analysis, 2010 - World Scientific
The phenomenon of mode-mixing caused by intermittence signals is an annoying problem
in Empirical Mode Decomposition (EMD) method. The noise assisted method of Ensemble …
in Empirical Mode Decomposition (EMD) method. The noise assisted method of Ensemble …
Empirical mode decomposition-based time-frequency analysis of multivariate signals: The power of adaptive data analysis
This article addresses data-driven time-frequency (TF) analysis of multivariate signals, which
is achieved through the empirical mode decomposition (EMD) algorithm and its noise …
is achieved through the empirical mode decomposition (EMD) algorithm and its noise …
Final results of Borexino Phase-I on low-energy solar neutrino spectroscopy
G Bellini, J Benziger, D Bick, G Bonfini, D Bravo… - Physical Review D, 2014 - APS
Borexino has been running since May 2007 at the Laboratori Nazionali del Gran Sasso
laboratory in Italy with the primary goal of detecting solar neutrinos. The detector, a large …
laboratory in Italy with the primary goal of detecting solar neutrinos. The detector, a large …
[HTML][HTML] EMD: Empirical mode decomposition and Hilbert-Huang spectral analyses in Python
Abstract The Empirical Mode Decomposition (EMD) package contains Python (>= 3.5)
functions for analysis of non-linear and non-stationary oscillatory time series. EMD …
functions for analysis of non-linear and non-stationary oscillatory time series. EMD …
[HTML][HTML] A hybrid AR-EMD-SVR model for the short-term prediction of nonlinear and non-stationary ship motion
WY Duan, LM Huang, Y Han, YH Zhang… - Journal of Zhejiang …, 2015 - jzus.zju.edu.cn
Accurate and reliable short-term prediction of ship motions offers improvements in both
safety and control quality in ship motion sensitive maritime operations. Inspired by the …
safety and control quality in ship motion sensitive maritime operations. Inspired by the …