High-resolution time–frequency representation of EEG data using multi-scale wavelets-Reference-Cited by-同舟云学术

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High-resolution time–frequency representation of EEG data using multi-scale wavelets

Published:2017-06-21 Issue:12 Volume:48 Page:2658-2668
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Li Yang¹,Cui Wei-Gang¹,Luo Mei-Lin¹,Li Ke²,Wang Lina³

Affiliation:

1. Department of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China

2. School of Aeronautic Science and Engineering, Beihang University, Beijing, China

3. National Laboratory of Aerospace Intelligent Control Technology, Beijing Aerospace Automatic Control Institute, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Open Fund Project of Fujian Provincial Key Laboratory of Information Processing and Intelligent Control in Minjiang University

Specialized Research Fund for the Doctoral Program of Higher Education

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2017.1340986

Reference46 articles.

1. Adaptive Modeling and Spectral Estimation of Nonstationary Biomedical Signals Based on Kalman Filtering

2. Detection of Seizure and Epilepsy Using Higher Order Statistics in the EMD Domain

3. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state

4. Adaptive AR modeling of nonstationary time series by means of Kalman filtering

5. Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition

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