Bionic wavelet transform: A new time-frequency method based on an auditory model

Jun Yao, Yuan Ting Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

Abstract

In this paper, a new adaptive wavelet transform, named bionic wavelet transform (BWT), is developed based on a model of the active auditory system. The most distinguishing characteristic of BWT is that its resolution in the time-frequency domain can be adaptively adjusted not only by the signal frequency but also by the signal instantaneous amplitude and its first-order differential. The automatically adjusted resolution, even in a fixed frequency along the time-axis, is achieved by introducing the active control of the auditory system into the wavelet transform (WT). Other properties of BWT include that: 1) BWT is a nonlinear transform that has high sensitivity and frequency selectivity; 2) BWT represents the signal with a concentrated energy distribution; and 3) the inverse BWT can reconstruct the original signal from its time-frequency representation. In order to compare these three properties between BWT and WT, experiments were conducted on both constructed signals and real speech signals. The results show that BWT performs better than WT in these three aspects, and that BWT is appropriate for speech signal processing, especially for cochlear implants.

Original languageEnglish (US)
Pages (from-to)856-863
Number of pages8
JournalIEEE Transactions on Biomedical Engineering
Volume48
Issue number8
DOIs
StatePublished - Aug 14 2001

Keywords

  • Bionic wavelet transform
  • Cochlear implants
  • Otoacoustic emissions
  • Time-frequency analysis

ASJC Scopus subject areas

  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Bionic wavelet transform: A new time-frequency method based on an auditory model'. Together they form a unique fingerprint.

Cite this