From otoacoustic emission modeling to bionic wavelet transform

J. Yao*, Y. T. Zhang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations

Abstract

Bionic Wavelet Transform (BWT), a new real-time adaptive method, is proposed in this paper based on the understanding of periphery hearing system. The resolutions of BWT in the time-frequency domain can be adaptively adjusted not only by the signal frequency but also by other parameters of the signal, such as signal amplitude. Simulation result shows new properties in time-frequency representation of this nonlinear transform.

Original languageEnglish (US)
Pages (from-to)314-316
Number of pages3
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
StatePublished - Dec 1 2000
Event22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States
Duration: Jul 23 2000Jul 28 2000

Keywords

  • Bionic wavelet transform
  • Otoacoustic emission

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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