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Multiple Harmonics Fitting Algorithms Applied to Periodic Signals Based on Hilbert-Huang Transform
2013
Journal of Sensors
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This paper describes a new sine fitting algorithm that is able to fit a multiharmonic acquired periodic signal. ...
By means of a "sinusoidal wave" whose amplitude and phase are both transient, the "triangular wave" can be reconstructed on the basis of Hilbert-Huang transform (HHT). ...
The authors are very grateful to the unknown referees for their valuable remarks. ...
doi:10.1155/2013/580152
fatcat:a3yljklxljcwte4v5mwmpnnw3a
A Hybrid Hilbert-Huang Method for Monitoring Distorted Time-Varying Waveforms
2021
Energies
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This paper focuses on the Hilbert–Huang method with modifications such as empirical mode decomposition improved with masking signals based on the Fast Fourier Transform, Hilbert spectral analysis, and ...
to economic value chain. ...
The final identification is not based on the Hilbert-Huang Transform but on the DFT applied over the identified steady-state time intervals. ...
doi:10.3390/en14071864
fatcat:4u4m2vvemnbdziceaoathoi2pm
Extraction of instantaneous frequencies and amplitudes in nonstationary time-series data
2021
IEEE Access
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The method is demonstrated on a diversity of time-series data, including on data from cantilever-based electrostatic force microscopy to quantify the time-dependent evolution of charging dynamics at the ...
By leveraging the strengths of modern gradient descent algorithms, the Fourier transform, multi-resolution analysis, and Bayesian spectral analysis, we propose a data-driven approach to time-frequency ...
Hilbert spectral analysis leverages the Hilbert transform to compute the analytic signal of each periodic mode identified by EMD. ...
doi:10.1109/access.2021.3087595
fatcat:mmx2vl56sjaj3do6jkfnoftxma
Extraction of instantaneous frequencies and amplitudes in nonstationary time-series data
[article]
2021
arXiv
pre-print
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The method is demonstrated on a diversity of time-series data, including on data from cantilever-based electrostatic force microscopy to quantify the time-dependent evolution of charging dynamics at the ...
By leveraging the strengths of modern gradient descent algorithms, the Fourier transform, multi-resolution analysis, and Bayesian spectral analysis, we propose a data-driven approach to time-frequency ...
DS, SLB, and JNK would especially like to acknowledge Henning Lange for helpful discussion on the FMD decomposition algorithm. ...
arXiv:2104.01293v1
fatcat:yehomdsynrdgznuexyibdgyjea
Classification of Power Quality Disturbances in Electric Power System: A Review
2012
IOSR Journal of Electrical and Electronics Engineering
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These devices introduce power quality problem on one hand and these mal-operate due to induced power quality problems on other hand. ...
The Electrical power quality issue has attained considerable attention in last decade due to large penetration of power electronics based loads and microprocessor based controlled loads. ...
[45] presented an innovative algorithm of improved Hilbert Huang method based on masking signals for power quality applications. ...
doi:10.9790/1676-0350614
fatcat:xa4nxyuccvhlpezb6vaga7h2fm
CHARACTERIZING INTERMITTENCY OF 4-Hz QUASI-PERIODIC OSCILLATION IN XTE J1550–564 USING HILBERT–HUANG TRANSFORM
2015
Astrophysical Journal
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We present the time-frequency analysis results based on the Hilbert-Huang transform (HHT) for the evolution of a 4-Hz low-frequency quasi-periodic oscillation (LFQPO) around the black hole X-ray binary ...
This correlation could be analogous to the linear rms-flux relation found in the 4-Hz LFQPO through Fourier analysis. ...
step of the HHT algorithm: using the normalized Hilbert transform ) to acquire the instantaneous frequency and amplitude of the IMF c 4 (t). ...
doi:10.1088/0004-637x/815/1/74
fatcat:jtqvyn7uv5ep3frrugoqcwq4la
Empirical Mode Decomposition for Advanced Speech Signal Processing
2013
Journal of Signal Processing
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Recently, EMD is taken much attention for speech signal processing in data adaptive way. Several EMD based potential soft-thresholding algorithms for speech enhancement are discussed here. ...
The speech processing is frequently performed in the transformed domain and the transformation is usually achieved by traditional signal analysis techniques i.e. Fourier and wavelet transformations. ...
The marginal Hilbert spectrum (MHS) derived from Hilbert-Huang transformation (HHT) representing precise spectra of the signal is employed to derive the energy based feature. ...
doi:10.2299/jsp.17.215
fatcat:2nwvs4rr5rcylmbagx2t3kzxoq
Adaptive Signal Processing Algorithms Based on EMD and ITD
2019
IEEE Access
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INDEX TERMS Adaptive filter bank, denoising algorithms, empirical mode decomposition, Fourier transform, Hilbert-Huang transform, internal oscillations, intrinsic time-scale decomposition, spectral analysis ...
Based on extensive computer simulations, we show explicitly that the replacement of EMD by ITD in several otherwise similar signal analysis scenarios leads to the increased noise robustness with simultaneous ...
In the Hilbert-Huang transform, at the first stage, the signal is decomposed using EMD, then the Hilbert transform [5] , [6] is performed. ...
doi:10.1109/access.2019.2956077
fatcat:gocl4qaw7rfl5emyrzxux57j7a
Numerical algorithms of marine diesel engine instantaneous speed based on Hilbert-Huang Transform
2018
IOP Conference Series: Materials Science and Engineering
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The Hilbert-Huang transform is introduced to decompose the instantaneous speed signal by EMD empirical mode and to analyze the spectrum. ...
The IMF component which affects the fluctuation of the speed is superimposed to obtain the HHT (Hilbert-Huang Transform)-based filtering curve. ...
Methods and principles based on Hilbert-Huang transformation In 1998, Norden E. ...
doi:10.1088/1757-899x/382/5/052017
fatcat:axtqrsy5zrha3kal77npnc2kuy
Diagnosis of root cause for oscillations in closed-loop chemical process systems
2011
IFAC Proceedings Volumes
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This approach has the following two components: (i) parametric Hammerstein model based stiction detection and, (ii) non-parametric Hilbert-Huang spectrum analysis for distingusihing between improperly ...
Several offline data-driven methods have been developed to address the diagnosis problem by focusing on only one of the causes for oscillations. ...
PRELIMINARIES -HILBERT HUANG TRANSFORM OF PROCESS SIGNALS Recently, Huang et al. [1996] developed the Hilbert-Huang transformation (HHT) to analyze the time-frequency charactersitics of time-dependent ...
doi:10.3182/20110828-6-it-1002.01227
fatcat:7lqicirdffdflafrlchucvbt3q
On Wake Analysis of Flow Past Rotating Downstream Cylinder using Hilbert-Huang Transformation
2019
Journal of Applied Fluid Mechanics
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This has been achieved by performing Hilbert-Huang transformation (HHT) on time series signals of drag and lift coefficients for the rotating cylinder. ...
Results are presented in the form of vorticity contours, Hilbert spectra and marginal spectra. Degree of stationarity of the signals as measure of nonlinearity has also been quantified. ...
Huang et al. (1998) and Huang et al. (1999) proposed that the Hilbert-Huang transformation (HHT) is an effective technique to resolve complex transient signals involving multiple harmonics. ...
doi:10.29252/jafm.75.253.28607
fatcat:xml5mrep6rbfzacza5sy3vkqdi
A Three Decades of Marvellous Significant Review of Power Quality Events Regarding Detection & Classification
2018
Journal of Power and Energy Engineering
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The present paper reveals a complete and inclusive study of power quality events, such as automatic classification and signal processing via creative techniques and the noises effect on the detection and ...
Power quality is discussed in researchers/scientist on a daily basis worldwide since 1970 and it's one of the hot topic in all decades due to upcoming new trends and technologies [2] [3]. ...
Methods Based on Hilbert Huang Transform In 1998 Dr. Huang proposed a novel signal processing algorithm known as Hilbert Huang transform (HHT) which includes two processes [32] . ...
doi:10.4236/jpee.2018.68001
fatcat:5a7ubwe75jae3ouaylucyq5zca
A NEW VIEW OF NONLINEAR WATER WAVES: The Hilbert Spectrum
1999
Annual Review of Fluid Mechanics
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We survey the newly developed Hilbert spectral analysis method and its applications to Stokes waves, nonlinear wave evolution processes, the spectral form of the random wave field, and turbulence. ...
Our emphasis is on the inadequacy of presently available methods in nonlinear and nonstationary data analysis. Hilbert spectral analysis is here proposed as an alternative. ...
NASA has filed for a patent for the algorithms of the EMD and Hilbert spectral analysis methods. ...
doi:10.1146/annurev.fluid.31.1.417
fatcat:ght32hj2b5eqxon6y6aw64qdmm
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 is based on an adaptive basis, and the frequency is defined through the Hilbert transform. ...
doi:10.1029/2007rg000228
fatcat:hqvat3hi6bcolfffzhobcx5fwq
Advanced Spectral Analysis and Cross Correlation Based on the Empirical Mode Decomposition: Application to the Environmental Time Series
2015
IEEE Geoscience and Remote Sensing Letters
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Furthermore, EMD based Time Dependent Intrinsic Correlation (TDIC) analysis is applied to consider the correlation between two nonstationary time series. ...
In this paper, an application of the Empirical Mode Decomposition method (EMD) associated to the Hilbert Spectral Analysis (HSA) is presented. ...
They also thank the Région Réunion for financial support brought to the NortekMed group for the acquisition of the data, provided to IFREMER within the framework of the HydroRun project. ...
doi:10.1109/lgrs.2015.2441374
fatcat:cacbqwdonvhm3potxauazpyjai
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