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
Citations
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Analytical methods and experimental approaches for electrophysiological studies of brain oscillations.
TL;DR: Methods for studying brain oscillations with MEG/EEG are reviewed, focusing on novel experimental approaches such as entrainment and methods for identifying relation between brain oscillation and behaviour.
Journal ArticleDOI
EMD-seislet transform
Yangkang Chen,Sergey Fomel +1 more
TL;DR: In this paper, the authors combined the 1D nonstationary seislet transform with empirical-mode decomposition (EMD) in the f-x domain, and the resulting representation showed remarkable sparsity.
Journal ArticleDOI
A four-stage hybrid model for hydrological time series forecasting.
TL;DR: The proposed four-stage hybrid model performs better than conventional single models, the hybrid models without denoising or decomposition and the hybrid model based on other methods, such as the wavelet analysis (WA)-based hybrid models.
Journal ArticleDOI
Wind speed forecasting method using wavelet, extreme learning machine and outlier correction algorithm
TL;DR: The experimental results indicate that the proposed hybrid model has the best forecasting performance in the comparisons of all the involved mainstream wind speed forecasting models.
Journal ArticleDOI
A cutter tool monitoring in machining process using Hilbert-Huang transform
Tomas Kalvoda,Yean Ren Hwang +1 more
TL;DR: In this paper, the use of accelerometer signals in order to detect cutter tool wear and tool fault under different cutting conditions is presented, where the acceleration signals (processed by using HHT) change the frequency in the marginal spectra as a result of geometric change of the cutter tool.
References
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Journal ArticleDOI
Deterministic nonperiodic flow
TL;DR: In this paper, it was shown that nonperiodic solutions are ordinarily unstable with respect to small modifications, so that slightly differing initial states can evolve into considerably different states, and systems with bounded solutions are shown to possess bounded numerical solutions.
Book
Linear and Nonlinear Waves
TL;DR: In this paper, a general overview of the nonlinear theory of water wave dynamics is presented, including the Wave Equation, the Wave Hierarchies, and the Variational Method of Wave Dispersion.
Book
RANDOM DATA Analysis and Measurement Procedures
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.
Journal ArticleDOI
Mathematical analysis of random noise
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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