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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State-of-the-Art Review on Modal Identification and Damage Detection of Bridges by Moving Test Vehicles
Yeong-Bin Yang,Judy P. Yang +1 more
TL;DR: Yang et al. as discussed by the authors proposed the use of a passing vehicle to scan the bridge frequencies to estimate the bridge frequency from the dynamic response of a moving vehicle, which is referred to as the indirect method for bridge measurement.
Journal ArticleDOI
Performance and limitations of the Hilbert–Huang transformation (HHT) with an application to irregular water waves
Marcus Dätig,Torsten Schlurmann +1 more
TL;DR: In this article, a simple parameter study with trigonometric functions to get an idea about the numerical performance of the empirical mode decomposition (EMD) is performed, and the main results of estimating relative standardized errors made between analytically exact defined sine waves and disintegrated intrinsic functions as well as their specific influence on each other are determined.
Journal ArticleDOI
Embodied Meter: Hierarchical Eigenmodes in Music-Induced Movement
TL;DR: In this article, the authors investigate how pulsations on different metrical levels manifest in music-induced movement, and they find that the metric structure of music is encoded in these movements.
Journal ArticleDOI
Random noise attenuation by f-x empirical mode decomposition predictive filtering
Yangkang Chen,Jitao Ma +1 more
TL;DR: In this paper, the authors developed a novel denoising method termed fx empirical-mode decomposition (EMD) predictive filtering, which solved the problem that makes fx predictive filtering ineffective with complex seismic data.
Journal ArticleDOI
Physical interpretation of independent component analysis in structural dynamics
TL;DR: In this article, the relation between the vibration modes of mechanical systems and the modes computed through a blind source separation technique called independent component analysis (ICA) was investigated for free and random vibrations of weakly damped systems.
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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