Intrinsic Mode Entropy for Nonlinear Discriminant Analysis

@article{Amoud2007IntrinsicME,
  title={Intrinsic Mode Entropy for Nonlinear Discriminant Analysis},
  author={Hassan Amoud and Hichem Snoussi and David J. Hewson and Michel Doussot and Jacques Duch{\^e}ne},
  journal={IEEE Signal Processing Letters},
  year={2007},
  volume={14},
  pages={297-300}
}
Several methods of measuring entropy of time series have been developed and applied on physiological signals in order to distinguish data sets according to their underlying nonlinear dynamics. These methods are not well adapted for studying the time series in different scales, in the presence of dominant local trends and low-frequency components. In this letter, intrinsic mode entropy (IMEn) is proposed as an entropy measure over multiple oscillation levels. Robustness to local trends is… CONTINUE READING
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