Detection of Change Points in Time Series with Moving Average Filters and Wavelet Transform: Application to EEG Signals
We investigated change point detection (CPD) in time series composed of harmonic functions driven by Gaussian noise (in EEGs, in particular) and proposed a method of moving average filters in conjunction with wavelet transform. Numerical simulations showed that CPD runs over 90% within the frequency...
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Veröffentlicht in: | Neurophysiology (New York) 2019-01, Vol.51 (1), p.2-8 |
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Sprache: | eng |
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