Approximating the Time-Frequency Representation of Biosignals with Chirplets

نویسندگان

  • Omid Talakoub
  • Jie Cui
  • Willy Wong
چکیده

A new member of the Cohen’s class time-frequency distribution is proposed. The kernel function is determined adaptively based on the signal of interest. The kernel preserves the chirp-like components while removing interference terms generated due to the quadratic characteristic of Wigner-Ville distribution. This approach is based on the chirplet as an underlying model of biomedical signals. We illustrate the method using a number of common biological signals including echo-location and evoked potential signals. Finally, the results are compared with other techniques including chirplet decomposition via matching pursuit and the Choi-Williams distribution function.

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عنوان ژورنال:
  • EURASIP J. Adv. Sig. Proc.

دوره 2010  شماره 

صفحات  -

تاریخ انتشار 2010