Skip to main navigation Skip to search Skip to main content

Fast implementation of adaptive Chirplet decomposition

Research output: Contribution to journalArticlepeer-review

Abstract

The adaptive Chirplet decomposition contains a lot of unknown parameters and has much difficulty in its implementation. In this conditions fast implementation of adaptive Chirplet decomposition is presented in this paper. By computing the quadratic phase (QP) function of the signal, it is shown that the QP function is concentrated along the frequency rate curve of the signal, and the peak of the QP function yields the estimates of the Chirplet rate, time center and the amplitude; Then the initial frequency and the time extent can be obtained by the dechirp technique. The scheme of the algorithm is shown in this paper, and the results of simulated data and echolocation signal from brown bat demonstrate the validity of the method proposed.

Original languageEnglish
Pages (from-to)701-704
Number of pages4
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume35
Issue number4
StatePublished - Apr 2007

Keywords

  • Adaptive Chirplet decomposition
  • Frequency rate curve
  • Quadratic phase function

Fingerprint

Dive into the research topics of 'Fast implementation of adaptive Chirplet decomposition'. Together they form a unique fingerprint.

Cite this