Decomposing biophotovoltaic current density profiles using the Hilbert-Huang transform reveals influences of circadian clock on cyanobacteria exoelectrogenesis. [PDF]
Okedi T, Yunus K, Fisher A.
europepmc +1 more source
Image improvement of temporal focusing multiphoton microscopy via superior spatial modulation excitation and Hilbert-Huang transform decomposition. [PDF]
Hu YY, Lin CY, Chang CY, Lo YL, Chen SJ.
europepmc +1 more source
Author Correction: Using energy time-frequency of Hilbert Huang transform to analyze the performance of the variable valve timing engine. [PDF]
Mohammed AA, Haris SM.
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Using energy time-frequency of Hilbert Huang transform to analyze the performance of the variable valve timing engine. [PDF]
Mohammed AA, Haris SM.
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Aeroelastic Flight Data Analysis with the Hilbert-Huang Algorithm [PDF]
This report investigates the utility of the Hilbert Huang transform for the analysis of aeroelastic flight data. It is well known that the classical Hilbert transform can be used for time-frequency analysis of functions or signals.
Brenner, Martin J., Prazenica, Chad
core +1 more source
Analysis of experimental homogeneous turbulence time series by Hilbert-Huang transform [PDF]
The Empirical Mode Decomposition (EMD) method and Hilbert-Huang transform are used to analyse experimental homogeneous turbulence time series. With this method, one can decompose nonlinear timeseries into a sum of different modes, each narrow-banded ...
LU, Zhiming +3 more
core
Analysis of Bioelectrical Impedance Spectrum for Elbow Stiffness Based on Hilbert-Huang Transform.
Gao G +7 more
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Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning
A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary time-series. The proposed approach is based on mode decomposition and
V.G. Kurbatsky +5 more
doaj
Feature generation for seismic and acoustic signals based on Hilbert-Huang transform [PDF]
The successful detection and classification of events require using signal processing algorithms suitable for analysis of nonlinear and nonstationary signals like seismic and acoustic ones.
Berešík, Roman +2 more
core
Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform. [PDF]
Dong R, Cai D, Ikuno S.
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