Parametric Modeling of EEG by Mono-Component Non-Stationary Signal

29 Jun 2020 Pradip Sircar Rakesh Kumar Sharma

In this paper, we propose a novel approach for parametric modeling of electroencephalographic (EEG) signals. It is demonstrated that the EEG signal is a mono-component non-stationary signal whose amplitude and phase (frequency) can be expressed as functions of time... (read more)

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Categories


  • COMPUTATIONAL ENGINEERING, FINANCE, AND SCIENCE
  • SIGNAL PROCESSING
  • 94-10
  • H.1; H.4

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