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
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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Journal ArticleDOI
Information spillovers and connectedness networks in the oil and gas markets
TL;DR: In this article, the authors investigated the oil-gas relationship from a multi-scale perspective by combining the connectedness network framework and the ensemble empirical mode decomposition (EEMD) method.
Journal ArticleDOI
Image Fusion and Enhancement via Empirical Mode Decomposition
TL;DR: A novel technique for image fusion and enhancement, using Empirical Mode Decomposition, which has devised weighting schemes which emphasize features from both modalities by decreasing the mutual information between IMFs, thereby increasing the information and visual content of the fused image.
Journal ArticleDOI
EMD-based pulsed TIG welding process porosity defect detection and defect diagnosis using GA-SVM
TL;DR: In this paper, a portable spectrometer based on a linear CCD is designed with real-time acquisition and processing of spectral data in the welding process of aluminum alloys, which extracts several characteristic spectral lines and calculates the intensity ratio between H I and Ar I.
Journal ArticleDOI
Subject independent emotion recognition from EEG using VMD and deep learning
Pallavi Pandey,K. R. Seeja +1 more
TL;DR: A subject independent emotion recognition technique is proposed from EEG signals using Variational Mode Decomposition (VMD) as a feature extraction technique and Deep Neural Network as the classifier that performs better compared to the state of the art techniques in subject-independent emotion recognition from EEG.
Journal ArticleDOI
A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application
TL;DR: A two-stage online prediction method based on an improved echo state network (ESN) is proposed to realize forecasting in the BFG system and demonstrates that the prediction system exhibits high accuracy and can provide an effective guidance for balancing and scheduling of the byproduct energy.
References
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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.
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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.
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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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