Signal-adaptive evolutionary spectral analysis using instantaneous frequency estimation

Akan A., Chaparro L.

IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Pennsylvania, United States Of America, 6 - 09 October 1998, pp.661-664 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/tfsa.1998.721511
  • City: Pennsylvania
  • Country: United States Of America
  • Page Numbers: pp.661-664
  • Istanbul University Affiliated: No


In this paper we present a signal-adaptive algorithm for computing the evolutionary spectra of non-stationary signals. The adaptation is accomplished by estimating the instantaneous frequency of the signal components from an initial evolutionary spectrum. The signal components are obtained applying a masking procedure in the time-frequency plane. Estimating the instantaneous frequency of the signal components permits us to improve the time-frequency resolution of the initial spectrum. The evolutionary spectra is computed using the Gabor representation of the signal. The performance of the proposed signal-adaptive algorithm is illustrated by considering examples of multi-component signals.