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Phase Error Compensation of Three-Dimensional Reconstruction Combined with Hilbert Transform
2021
Computers Materials & Continua
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The phase error is converted to the transform domain, and compared with the numeric value in the space domain. ...
A phase compensation algorithm combined with a Hilbert transform is proposed to reduce the phase error caused by the nonlinear response of a digital projector in the three-dimensional measurement system ...
The authors thank the anonymous reviewers and the editor for the instructive suggestions that significantly improved the quality of this paper. ...
doi:10.32604/cmc.2021.016362
fatcat:ruo2pkdtxbbllijqewxvoiz5wq
Feature Extraction and Simulation of EEG Signals during Exercise-induced Fatigue
2019
IEEE Access
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INDEX TERMS Exercise fatigue, EEG signal, multivariate empirical mode decomposition, Hilbert-Huang transform. ...
In this paper, based on multivariate empirical mode decomposition (MEMD) and Hilbert-Huang (HHT) algorithm, feature extraction of EEG signals during exercise fatigue is performed. ...
Based on this characteristic of Hilbert-Huang transform, the feature extraction method of motion imaging EEG signals is extracted by using energy feature extraction method considering time and frequency ...
doi:10.1109/access.2019.2909035
fatcat:eykynjx47vbjlaot3ilgybz7cq
Vascular dementia classification based on hilbert huang transform as feature extractor
2020
Indonesian Journal of Electrical Engineering and Computer Science
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Meanwhile, Hilbert Huang Transform (HHT) was based on the characteristic local time scale of the signal, it can </span><span lang="EN-MY">efficiently obtain instantaneous frequency and instantaneous amplitude ...
the amplitude contribution of each frequency value in specific time. ...
ACKNOWLEDGEMENTS The authors would like to thank Universiti Teknologi Malaysia for funding this research project through a research university Grant (Q.K130000.2443.04G73) titled "CRG 8.1: AI Predictive ...
doi:10.11591/ijeecs.v17.i2.pp968-974
fatcat:cfaxhad3dbg6jmuojmcwf7u44y
Application of Hilbert-Huang transformation in fluidized bed with two-component (biomass particles and quartz sands) mixing flow
2014
Korean Journal of Chemical Engineering
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Hilbert-Huang transformation was used to investigate the nonlinear characteristics of two-component (biomass particles and quartz sand) mixing flow by analyzing the pressure fluctuation signals in fluidized ...
In slugging flow pattern, the energy in pressure fluctuation mainly lies in 0-5 Hz. and the effect of biomass particles on the Hilbert-Huang spectrum is not very obvious. ...
ACKNOWLEDGEMENTS This research is supported by the National Natural Science Fund Program of China (51276040), National Natural Science Fund Program of China (U1361115). ...
doi:10.1007/s11814-014-0181-5
fatcat:2ek4jm6ofbcsxaxo2cmo3sus4m
A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring
2020
International Journal of Scientific Research in Science Engineering and Technology
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Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine ...
The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. ...
The detection accuracy for each second is 76.7% but failure omission rate is 21.7%.
3) The Result of Hilbert-Huang Transform Analysis The Hilbert-Huang transform method has a large amount of calculation ...
doi:10.32628/ijsrset207430
fatcat:wmcfn6xekfcu3lv4ifhlxeqq7a
Localizing Spectral Interactions in the Resting State Network Using the Hilbert–Huang Transform
2022
Brain Sciences
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Instead of using the Fourier-based wavelet analysis to identify the fMRI frequency of interests, we employed the Hilbert–Huang transform (HHT) for probing the specific frequency contribution to the functional ...
In the visual network, the strength of the spectral interaction within 0.03–0.04 Hz was amplified in EC compared with that in EO condition, whereas a canonical connectivity analysis did not present differences ...
The other popular dynamic analysis method is the use of short-time Fourier transform (STFT), which yields frequency spectra by setting a small duration in the temporal domain (window size). ...
doi:10.3390/brainsci12020140
pmid:35203903
pmcid:PMC8870154
fatcat:uqdtxpkc5bc3xjyykm2ulptwru
Spontaneous Pupillary Oscillation Signal Analysis Applying Hilbert Huang Transform
2016
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies
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This paper proposes a new application of the Hilbert-Huang transform (HHT). ...
The traditional Fourier transform is only useful for linear stationary signals analysis, but the HHT was designed for the analysis of non-linear and non-stationary signals. ...
The combination of the EMD and the Hilbert Spectral Analysis is designated as the Hilbert-Huang Transform (HHT). ...
doi:10.5220/0005697400670077
dblp:conf/biostec/Villalobos-Castaldi16
fatcat:plqep5ungzelzlv3y2oyo3zi2y
A Non-stationary Analysis Using Ensemble Empirical Mode Decomposition to Detect Anomalies in Building Energy Consumption
2016
Procedia Engineering
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The paper proposes a novel method to detect hidden anomalies in commercial building energy consumption system. The framework is based on Hilbert-Huang transform and instantaneous frequency analysis. ...
Such data has the potentials to detect anomalies, identify consumption patterns, and analyze peak loads. ...
The mathematical foundation of the proposed framework is the Hilbert-Huang transform and instantaneous frequency analysis. ...
doi:10.1016/j.proeng.2016.04.137
fatcat:vvtscy4lezcy3ff5aj6lnbfxhi
Frequency Clustering Analysis for Resting State Functional Magnetic Resonance Imaging Based on Hilbert-Huang Transform
2017
Frontiers in Human Neuroscience
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Methods: In this article, we introduced a novel frequency clustering analysis method based on Hilbert-Huang Transform (HHT) and a label-replacement procedure. ...
Objective: Exploring resting-state functional networks using functional magnetic resonance imaging (fMRI) is a hot topic in the field of brain functions. ...
Applying Hilbert-Huang Transform to BOLD Signal Analysis In our study, HHT was introduced to frequency clustering analysis of resting-state fMRI. ...
doi:10.3389/fnhum.2017.00061
pmid:28261074
pmcid:PMC5311986
fatcat:pw23cwxtczenfkc576dugti3ba
Bearing fault detection and diagnosis based on order tracking and Teager-Huang transform
2010
Journal of Mechanical Science and Technology
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The Teager-Huang transform has better resolution than that of Hilbert-Huang transform. ...
The nonstationary vibration signals are transformed from the time domain transient signal to angle domain stationary one using order tracking. ...
Acknowledgments The authors are grateful to the National Natural Science Foundation of China (No.50775219 and No.50975185), Zhejiang Provincial Natural Science Foundation (No.Y 1080040). ...
doi:10.1007/s12206-009-1211-9
fatcat:5tlb5zibcrfhfm4awvdrtjpwje
Empirical mode decomposition and Hilbert transforms for analysis of oil-film interferograms
2010
Measurement science and technology
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In contrast to the commonly used Fourier-based techniques, this new method is less subjective and, as it is based on the Hilbert transform, is superior for treating amplitude and frequency modulated data ...
In this paper, we consider empirical mode decomposition (EMD) and the Hilbert transform as an alternative tool for analyzing oil-film interferograms. ...
on Experiments in Turbulence (ICET), and for the calibration of the silicone oil viscosity. ...
doi:10.1088/0957-0233/21/10/105405
fatcat:bxhzejriyjfvziumhh7ogl7mv4
Experimental Investigation and Fault Diagnosis for Buckled Wet Clutch Based on Multi-Speed Hilbert Spectrum Entropy
2021
Entropy
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However, unlike in other rotating machinery, the time-domain features of the vibration signal lack efficiency in fault diagnosis for the wet clutch. ...
The multi-disc wet clutch is widely used in transmission systems as it transfers the torque and power between the gearbox and the driving engine. ...
Data Availability Statement: Data is contained within the article.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/e23121704
pmid:34946010
pmcid:PMC8701038
fatcat:vhdf2nppqrctvd3w2gh36f4abi
Wavelet-based Moving Object Segmentation: From Scalar Wavelets to Dual-tree Complex Filter Banks
[chapter]
2010
Pattern Recognition Recent Advances
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Specifically, the analysis wavelet ψ h (t) of B is the Hilbert transform of the analysis wavelet ψ h (t) of B, and the synthesis wavelet ψ f (t) of B is the Hilbert transform of ψ f (t). ...
The three spatial domain frames are transformed into the wavelet domain resulting in three images I n−1 , I n and I n+1 with respective subbands. ...
correctly reference this scholarly work, feel free to copy and paste the following: Aryaz Baradarani and Q.M. ...
doi:10.5772/9352
fatcat:znphtkvxb5hirbvvqlsxv7lt2a
A review on Hilbert-Huang transform: Method and its applications to geophysical studies
2008
Reviews of Geophysics
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Hilbert-Huang transform, consisting of empirical mode decomposition and Hilbert spectral analysis, is a newly developed adaptive data analysis method, which has been used extensively in geophysical research ...
1] 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 processing. ...
It seems that the problem stems from the Hilbert transform itself, for the Hilbert transform uses a global domain integral and implicitly a global domain weighted average, while instantaneous frequency ...
doi:10.1029/2007rg000228
fatcat:hqvat3hi6bcolfffzhobcx5fwq
Flow Field Modulation
2013
IEEE Transactions on Visualization and Computer Graphics
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In this paper we introduce a method that can analyze the intrinsic multiscale features of flow fields from a decomposition point of view, by using the Hilbert-Huang transform method on 3D fluid simulation ...
The nonlinear and non-stationary nature of Navier-Stokes equations produces fluid flows that can be noticeably different in appearance with subtle changes. ...
[31] used the Lagrangian coherent structure to achieve controllable pattern regulation of fluids. The Hilbert-Huang transform [32] was first used for signal processing. ...
doi:10.1109/tvcg.2013.73
pmid:23929850
fatcat:cr6o5ugafbdk5aww74ph6wpc4y
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