Title :
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
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;
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
DOI :
10.1109/TFSA.1994.467333
