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3.4 Mathematical Models Derived Directly from the EEG Signals

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These models are basically the description of single and multichannel signals in terms of a limited number of statistical parameters which not only represent the morphology of the waveforms but also their temporal or spatial sample correlations. In these models the internal and external noise is often considered as an uncorrelated temporal signal independent of the brain generated signals.

EEG Signal Processing and Machine Learning

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