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Keyword

intrinsic mode functions

Description: Oscillatory components extracted from signals by empirical mode decomposition, used for analyzing nonstationary data in fields such as seismic and biomedical research.
OpenAlex ID: keywords/intrinsic-mode-function
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
1998 · Norden E. Huang, Zheng Shen, et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 23,657
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Ensemble Empirical Mode Decomposition: a Noise-assisted Data Analysis Method
2008 · ZHAOHUA WU, NORDEN E. HUANG · Advances in Adaptive Data Analysis · 8,738
A complete ensemble empirical mode decomposition with adaptive noise
2011 · Maria E. Torres, Marcelo A. Colominas, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 2,787
A study of the characteristics of white noise using the empirical mode decomposition method
2004 · Zhaohua Wu, Norden E. Huang · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 1,703
Complementary Ensemble Empirical Mode Decomposition: a Novel Noise Enhanced Data Analysis Method
2010 · JIA-RONG YEH, JIANN-SHING SHIEH, et al. · Advances in Adaptive Data Analysis · 1,514
Improved complete ensemble EMD: A suitable tool for biomedical signal processing
2014 · Marcelo A. Colominas, Gastón Schlotthauer, et al. · Biomedical Signal Processing and Control · 1,478
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A confidence limit for the empirical mode decomposition and Hilbert spectral analysis
2003 · Norden E Huang, Man-Li C Wu, et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 1,213
Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals
2014 · Jaouher Ben Ali, Nader Fnaiech, et al. · Applied Acoustics · 768
Financial time series forecasting model based on CEEMDAN and LSTM
2018 · Jian Cao, Zhi Li, et al. · Physica A Statistical Mechanics and its Applications · 710
Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
2008 · Lean Yu, Shouyang Wang, et al. · Energy Economics · 705
Image analysis by bidimensional empirical mode decomposition
2003 · J.C Nunes, Y Bouaoune, et al. · Image and Vision Computing · 696
EMD-Based Signal Filtering
2007 · Abdel-Ouahab Boudraa, Jean-Christophe Cexus · IEEE Transactions on Instrumentation and Measurement · 658
Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation
2017 · Huiting Zheng, Jiabin Yuan, et al. · Energies · 635
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Time-Frequency Reassignment and Synchrosqueezing: An Overview
2013 · Francois Auger, Patrick Flandrin, et al. · IEEE Signal Processing Magazine · 631
One or Two Frequencies? The Empirical Mode Decomposition Answers
2008 · G. Rilling, P. Flandrin · IEEE Transactions on Signal Processing · 610
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
2020 · Aytaç Altan, Seçkin Karasu, et al. · Applied Soft Computing · 599
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Application of the EEMD method to rotor fault diagnosis of rotating machinery
2008 · Yaguo Lei, Zhengjia He, et al. · Mechanical Systems and Signal Processing · 587
A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM
2015 · Xiaoyuan Zhang, Yitao Liang, et al. · Measurement · 586
Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert–Huang transform
2006 · V.K. Rai, A.R. Mohanty · Mechanical Systems and Signal Processing · 572
Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition
2015 · Wen-chuan Wang, Kwok-wing Chau, et al. · Water Resources Management · 563
A roller bearing fault diagnosis method based on EMD energy entropy and ANN
2005 · Yang Yu, YuDejie, et al. · Journal of Sound and Vibration · 559
Research on variational mode decomposition and its application in detecting rub-impact fault of the rotor system
2015 · Yanxue Wang, Richard Markert, et al. · Mechanical Systems and Signal Processing · 557
Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
2011 · Zhenhai Guo, Weigang Zhao, et al. · Renewable Energy · 525
Applications of Hilbert–Huang transform to non‐stationary financial time series analysis
2003 · Norden E. Huang, Man‐Li Wu, et al. · Applied Stochastic Models in Business and Industry · 512
Successive variational mode decomposition
2020 · Mojtaba Nazari, Sayed Mahmoud Sakhaei · Signal Processing · 500
Works count: 11,650
Citation count: 217,800
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