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Improving the classification of newborn EEG time-frequency representations using a combined time-frequency signal and image approach
(2012 , Conference Paper)
This paper presents new time-frequency (T-F) features to improve the classification of non-stationary signals such as EEG signals. Previous methods were based only on signal features that were derived from the instantaneous ...
Signal content estimation based on the short-term time-frequency Rényi entropy of the S-method time-frequency distribution
(2012 , Conference Paper)
A key characteristic of a nonstationary signal, when analyzed in the time-frequency domain, is the signal complexity, quantified as the number of components in the signal. This paper describes a method for the estimation ...