A multiwavelet-based time-varying model identification approach for time–frequency analysis of EEG signals

Published 2016 View Full Article

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Title
A multiwavelet-based time-varying model identification approach for time–frequency analysis of EEG signals
Authors
Keywords
Chebyshev polynomials, EEG data, Kalman filter, Mutual information, Wavelet, Orthogonal least squares (OLS), Time-varying system identification, Time–frequency analysis
Journal
NEUROCOMPUTING
Volume 193, Issue -, Pages 106-114
Publisher
Elsevier BV
Online
2016-02-11
DOI
10.1016/j.neucom.2016.01.062

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