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
More filters
Journal ArticleDOI
Single-Mixture Audio Source Separation by Subspace Decomposition of Hilbert Spectrum
TL;DR: A novel technique is developed to separate the audio sources from a single mixture based on decomposing the Hilbert spectrum of the mixed signal into independent source subspaces and the inverse transformation is applied.
Journal ArticleDOI
The time-dependent intrinsic correlation based on the empirical mode decomposition
TL;DR: The TDIC represents a major advance in statistical analysis of data from nonlinear and nonstationary processes and uses a set of the sliding window sizes for the computation of the running correlation coefficients for multi-scale data.
Journal ArticleDOI
EMD-Based Filtering (EMDF) of Low-Frequency Noise for Speech Enhancement
Navin Chatlani,John J. Soraghan +1 more
TL;DR: An empirical mode decomposition-based filtering (EMDF) approach is presented as a postprocessing stage for speech enhancement and is able to suppress residual noise from speech signals that were enhanced by the conventional optimally modified log-spectral amplitude approach.
Journal ArticleDOI
A review of the key technologies for sEMG-based human-robot interaction systems
TL;DR: A detailed review of the key technologies related to the use of sEMG signals in human-robot interaction systems (HRISs) and the bottlenecks hindering the application are discussed.
Journal ArticleDOI
A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks
TL;DR: Simulation results and analysis suggest that the proposed VMD-SNN forecasting model outperforms conventional models in terms of forecasting accuracy and reliability.
References
More filters
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.
Related Papers (5)
Ensemble empirical mode decomposition: a noise-assisted data analysis method
Zhaohua Wu,Norden E. Huang +1 more