Entropy

Difference b/w Spectral Entropy and Flatness Measure

Difference b/w Spectral Entropy and Flatness Measure
  1. How is spectral flatness measured?
  2. What is spectral entropy in EEG?
  3. What is the entropy of a signal?
  4. What is power spectrum of a signal?

How is spectral flatness measured?

The spectral flatness is calculated by dividing the geometric mean of the power spectrum by the arithmetic mean of the power spectrum, i.e.: where x(n) represents the magnitude of bin number n.

What is spectral entropy in EEG?

Spectral Entropy, a normalised form of Shannon's entropy, which uses the power spectrum amplitude components of the time series for entropy evaluation [86,34]. It quantifies the spectral complexity of the EEG signal.

What is the entropy of a signal?

The spectral entropy (SE) of a signal is a measure of its spectral power distribution. The concept is based on the Shannon entropy, or information entropy, in information theory.

What is power spectrum of a signal?

The power spectrum of a signal indicates the relative magnitudes of the frequency components that combine to make up the signal. The data used to determine the power spectrum must reflect sufficient excitation in the signal.

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