Time-trend analysis of the center frequency of the intrinsic mode function from the Hilbert–Huang transform of electroencephalography during general anesthesia: a retrospective observational study [PDF]
BMC Anesthesiology, 2023 Background Anesthesiologists are required to maintain an optimal depth of anesthesia during general anesthesia, and several electroencephalogram (EEG) processing methods have been developed and approved for clinical use to evaluate anesthesia depth ...
Yurie Obata +3 more
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Segmentation of Killer Whale Vocalizations Using the Hilbert-Huang Transform [PDF]
EURASIP Journal on Advances in Signal Processing, 2008 The study of cetacean vocalizations is usually based on spectrogram analysis. The feature extraction is obtained from 2D methods like the edge detection algorithm.
Olivier Adam
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Quantitative Identification of Pulse-Like Ground Motions Based on Hilbert–Huang Transform [PDF]
Shock and Vibration, 2021 Aiming to address the problem of pulse-like ground motions being difficult to identify, this paper refines the Baker’s wavelet-based pulse-like ground motions identification method, followed by a new pulse-like ground motion identification method based ...
Zhen Liu
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Hilbert–Huang Transform Analysis of Quasiperiodic Oscillations in MAXI J1820+070
The Astrophysical Journal, 2023 We present a time-frequency analysis, based on the Hilbert–Huang transform, of the evolution of the low-frequency quasiperiodic oscillations observed in the black hole X-ray binary MAXI J1820+070.
Wei Yu +16 more
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Detection and Classification of Double Line to Ground Faults in a 138 kV Six Phase Transmission Line Using Hilbert Huang Transform [PDF]
International Journal of Electrical Engineering and Applied Sciences, 2019 In this paper, Hilbert Huang transform based technique is introduced to detect and classify double line to ground faults in a 138 kV, 60 Hz, 68 km long six phase transmission line.
Gaurav Kapoor
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Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning [PDF]
Известия Иркутского государственного университета: Серия "Математика", 2014 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
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An instantaneous frequency analysis method of stay cables
Journal of Low Frequency Noise, Vibration and Active Control, 2021 This paper presents and evaluates in detail a conjugate-pair decomposition method for tracking the instantaneous frequency of a vibration signal by processing only three (or more) most recent data points, and Probability Box theory was employed to obtain
Rumian Zhong, P Frank Pai
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SPECTRAL ESTIMATION OF TIME SERIES
Современная наука и инновации, 2022 As a result of spectral analysis, namely, the fast Fourier transform (FFT) method, the wavelet transform method, the Hilbert-Huang transform method, certain periods of the time series representing the monthly average values of the sunspot numbers were ...
L. N. Dzhimbeeva +5 more
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Crack detection in beams using Hilbert-Huang transform [PDF]
مجله مدل سازی در مهندسی, 2018 This study presents a non-destructive method for detecting location and depth of crack in beams. The method utilizes Hilbert-Huang Transform (HHT) as a time-series analysis technique.
Mohammad Reza Galeban, Shapour Moradi
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Representation Learning for EEG-Based Biometrics Using Hilbert–Huang Transform
Computers, 2022 A promising approach to overcome the various shortcomings of password systems is the use of biometric authentication, in particular the use of electroencephalogram (EEG) data.
Mikhail Svetlakov +4 more
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