DocumentCode
287711
Title
Animal echolocation and signal processing
Author
Nachtigall, P.E. ; Au, W.W.L. ; Pawloski, J.L. ; Roitblat, H.L.
Author_Institution
Hawaii Inst. of Marine Biol., Hawaii Univ., Honolulu, HI, USA
Volume
1
fYear
1994
fDate
13-16 Sep 1994
Abstract
The echolocation capabilities of dolphins and small whales exceed those of current man-made sonars. Dolphins, beluga whales and false killer whales can perceive small targets presented over 110 m away, can classify target shapes independent of internal target reverberation, can discriminate wall thickness differences in targets of less than .2 mm, and can operate in high noise environments. Recent natural observations indicate that several species may also detect and choose targets buried in sediment. These tasks are accomplished through the use of range-gated clicks that tend to be broad band with peak frequencies exceeding 100 kHz. The short (50 microsec) pulses can have amplitudes exceeding 220 db and bandwidths exceeding 60 kHz. This paper provides a short review of animal echolocation capabilities, methodologies used to examine them, and potential uses of neural networks and other signal processing techniques to understand and perhaps duplicate those animal capabilities
Keywords
bioacoustics; neural nets; neurophysiology; reverberation; sonar signal processing; amplitudes; animal echolocation capabilities; bandwidths; beluga whales; broad band; dolphins; false killer whales; high noise environments; internal target reverberation; natural observations; neural networks; peak frequencies; range-gated clicks; signal processing; small targets; small whales; target shapes; wall thickness differences; Animals; Dolphins; Noise shaping; Reverberation; Sediments; Shape; Signal processing; Sonar; Whales; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS '94. 'Oceans Engineering for Today's Technology and Tomorrow's Preservation.' Proceedings
Conference_Location
Brest
Print_ISBN
0-7803-2056-5
Type
conf
DOI
10.1109/OCEANS.1994.363822
Filename
363822
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