DOI: 10.1007/978-3-540-69139-6_43
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Comparison Of FFT And AR Techniques For Scalp EEG Analysis

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“…However, the segment length affects the accuracy of estimated features. FFT performs very poorly with short data segments [ 153 ]. Wavelet transform or adaptive autoregressive components are preferred to reveal the non-stationary time variations of brain signals.…”
Section: Features Extraction and Selectionmentioning
confidence: 99%
“…However, the segment length affects the accuracy of estimated features. FFT performs very poorly with short data segments [ 153 ]. Wavelet transform or adaptive autoregressive components are preferred to reveal the non-stationary time variations of brain signals.…”
Section: Features Extraction and Selectionmentioning
confidence: 99%