Journal ArticleDOI
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
Norden E. Huang,Zheng Shen,Steven R. Long,Man-Li C. Wu,Hsing H. Shih,Quanan Zheng,Nai-Chyuan Yen,C. C. Tung,Henry H. Liu +8 more
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TLDR
In this paper, a new method for analysing nonlinear and nonstationary data has been developed, which is the key part of the method is the empirical mode decomposition method with which any complicated data set can be decoded.Abstract:
A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the empirical mode decomposition method with which any complicated data set can be dec...read more
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Journal ArticleDOI
A Comparative Study of Empirical Mode Decomposition-Based Short-Term Wind Speed Forecasting Methods
TL;DR: It shows that EMD and its improved versions enhance the performance of SVR significantly but marginally on ANN, and among the EMD-based hybrid methods, the proposed CEEMDAN-SVR is the best method.
Journal ArticleDOI
Time-varying vibration decomposition and analysis based on the Hilbert transform
TL;DR: In this article, a simple method for time-varying vibration decomposition based on the Hilbert transform is proposed, where the non-stationary frequency of the largest component is estimated as an average function of the instantaneous frequency, and the corresponding envelope is estimated according to synchronous demodulation.
Journal ArticleDOI
Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction
TL;DR: A two phases data driven method for RUL prediction is presented and the results show the effectiveness of the method in predicting the RUL for both applications.
Journal ArticleDOI
Application of the Empirical Mode Decomposition and Hilbert-Huang Transform to Seismic Reflection Data
TL;DR: This work is to determine whether the HHT allows for empirically-derived characteristics to be used in filter design and application, resulting in better filter performance and enhanced signal-to-noise ratio.
Journal ArticleDOI
Empirical mode decomposition based ECG enhancement and QRS detection
Saurabh Pal,Madhuchhanda Mitra +1 more
TL;DR: An Empirical Mode Decomposition (EMD) based ECG signal enhancement and QRS detection algorithm is proposed and a single fold processing of each signal is required unlike other conventional techniques.
References
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TL;DR: A revised and expanded edition of this classic reference/text, covering the latest techniques for the analysis and measurement of stationary and nonstationary random data passing through physical systems, is presented in this article.
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TL;DR: In this paper, the authors used the representations of the noise currents given in Section 2.8 to derive some statistical properties of I(t) and its zeros and maxima.
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