Scale domain analysis of a bat sonar signal

Author

Ristic, Branko ; Boashash, Boualem

Author_Institution

Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia

fYear

1994

fDate

25-28 Oct 1994

Firstpage

373

Lastpage

376

Abstract

Scale domain signal analysis has been developed in response to the need to analyse Doppler-tolerant waveforms or self-similar random signals. Following Cohen´s concept of scale representations, this paper introduces the concept of higher-order scale-spectra and investigates advantages and drawbacks of scale domain versus the traditional frequency domain analysis. Several scale-domain methods are applied to a natural signal (a bat echolocation pulse) including the scale spectrum, the scale bispectrum and a smoothed Q time-scale distribution

Keywords

Doppler effect; bioacoustics; frequency-domain analysis; higher order statistics; mechanoception; random processes; signal representation; sonar signal processing; spectral analysis; Doppler-tolerant waveforms; bat echolocation pulse; bat sonar signal; frequency domain analysis; higher-order scale-spectra; natural signal; scale bispectrum; scale domain analysis; scale representations; scale spectrum; scale-domain methods; self-similar random signals; smoothed Q time-scale distribution; Australia; Autocorrelation; Bandwidth; Frequency modulation; Random processes; Signal analysis; Signal processing; Sonar; Surges; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on

Conference_Location

Philadelphia, PA

Print_ISBN

0-7803-2127-8

Type

conf

DOI

10.1109/TFSA.1994.467333

Filename

467333