The Empirical Mode Decomposition and the Hilbert-Huang Transform [PDF]
EURASIP Journal on Advances in Signal Processing, 2008 Nii O. Attoh-Okine +3 more
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Decomposing biophotovoltaic current density profiles using the Hilbert-Huang transform reveals influences of circadian clock on cyanobacteria exoelectrogenesis. [PDF]
Sci Rep, 2022 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]
Sci Rep, 2022 Hu YY, Lin CY, Chang CY, Lo YL, Chen SJ.
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Aeroelastic Flight Data Analysis with the Hilbert-Huang Algorithm [PDF]
, 2006 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
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Author Correction: Using energy time-frequency of Hilbert Huang transform to analyze the performance of the variable valve timing engine. [PDF]
Sci Rep, 2022 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]
Sci Rep, 2022 Mohammed AA, Haris SM.
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Analysis of experimental homogeneous turbulence time series by Hilbert-Huang transform [PDF]
, 2007 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
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Feature generation for seismic and acoustic signals based on Hilbert-Huang transform [PDF]
, 2017 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
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Prediction the defibrillation success based on Hilbert-Huang transform of ventricular fibrillation waveform [PDF]
, 2007 의공학과/석사[한글]본 연구에서는 Hilbert-Huang 변환을 기반으로 심실세동 심전도 파형으로부터 세 종류의 파라미터(EMD-IF, EMD-WIF, EMD-FFT)를 추출하고 서포트 벡터 머신(Support Vector Machine; SVM)을 이용하여 소생성공 및 실패 여부 예측에 관하여 연구하였다.심실세동의 치료방법으로 전기적 제세동을 가하는 것이 유일한 방법으로 알려져 왔지만 제세동을 위해 전기 충격을 인가하기 위해서는 심전도의 분석과 ...
장용구
core
Analysis of Bioelectrical Impedance Spectrum for Elbow Stiffness Based on Hilbert-Huang Transform.
Contrast Media Mol Imaging, 2022 Gao G +7 more
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