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
Temporal pattern attention for multivariate time series forecasting
TL;DR: TPA-LSTM as discussed by the authors uses a set of filters to extract time-invariant temporal patterns, similar to transforming time series data into its "frequency domain" and then proposes a novel attention mechanism to select relevant time series, and use its frequency domain information for multivariate forecasting.
Proceedings ArticleDOI
Device-free gesture tracking using acoustic signals
Wei Wang,Alex X. Liu,Ke Sun +2 more
TL;DR: This paper proposes LLAP, a device-free gesture tracking scheme that can be deployed on existing mobile devices as software, without any hardware modification, and implemented and evaluated LLAP using commercial-off-the-shelf mobile phones.
Journal ArticleDOI
System identification of linear structures based on Hilbert–Huang spectral analysis. Part 2: Complex modes
TL;DR: In this paper, a method based on the Hilbert-Huang spectral analysis was proposed to identify general linear structures with complex modes using the free vibration response data polluted by noise, where measured response signals are first decomposed into modal responses using the method of empirical mode decomposition with intermittency criteria.
Journal ArticleDOI
Empirical mode decompositions as data-driven wavelet-like expansions
Patrick Flandrin,Paulo Gonçalves +1 more
TL;DR: The experimental spectral analysis and statistical characterization of the obtained modes reveal an equivalent filter bank structure which shares most properties of a wavelet decomposition in the same context, in terms of self-similarity, quasi-decorrelation and variance progression.
Journal ArticleDOI
Wavelet Transforms for System Identification in Civil Engineering
T. Kijewski,Ahsan Kareem +1 more
TL;DR: In this article, the authors discuss the impact of end effects on wavelet transforms in the context of the wavelet's multi-resolution character and include guidelines for selection of wavelet central frequencies, highlighting their role in complete modal separation.
References
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