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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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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Individual identification via electrocardiogram analysis
TL;DR: A survey of the techniques used so far in ECG-based human identification is provided, providing a unifying framework to appreciate previous studies and, hopefully, guide future research.
Journal ArticleDOI
A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting
TL;DR: A novel hybrid forecasting system consisting of three modules (a data preprocessing module, optimization module, and forecasting module) is developed to improve the forecasting accuracy and stability and demonstrates the great performance of proposed system.
Journal ArticleDOI
Quantifying Neural Oscillatory Synchronization: A Comparison between Spectral Coherence and Phase-Locking Value Approaches.
Eric Lowet,Eric Lowet,Mark Roberts,Mark Roberts,Pietro Bonizzi,Joël Karel,Peter De Weerd,Peter De Weerd +7 more
TL;DR: It is found that spectral coherence failed to robustly reflect changes in synchrony-mediated information flow between neural networks in many instances, and a phase-locking value (PLV) method based on the reconstruction of the instantaneous phase was explored.
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Automatic Classification of Power Quality Events Using Balanced Neural Tree
TL;DR: An empirical-mode decomposition (EMD) and Hilbert transform (HT)-based method for the classification of power quality (PQ) events and is compared with an S-transform-based classifier to show the efficacy of the proposed technique in classifying the PQ disturbances.
Journal ArticleDOI
Mapping Rice Cropping Systems in Vietnam Using an NDVI-Based Time-Series Similarity Measurement Based on DTW Distance
TL;DR: The results demonstrate that the DTW-based similarity measure of the NDVI time series can be effectively used to map large-area rice cropping systems with diverse cultivation processes.
References
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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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