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Adaptive Bio-inspired Signals for Better Object Characterisation

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Biomimetic and Biohybrid Systems(Living Machines 2015)

Part of the book series:Lecture Notes in Computer Science ((LNAI,volume 9222))

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Abstract

Dolphins identify objects using their sonar, which works by emitting short acoustic pulses with high bandwidth and high intensity. These echolocation impulses have a double chirp structure. The complex signal structure allows animals to collect more information than simply the distance to the object. They can evaluate object’s size, shape, and even the innards of the object, by processing the whole echo from the object.

The study of the dolphins’ clicks inspired a simulation of the signals for echolocation purposes. They are already used for object characterisation.

In addition, dolphins’ clicks are adaptive signals. Dolphins can change some parameters of the clicks during recognition process, which allows them to achieve better results for object characterisation.

This paper presents background and the main concept of the adaptive echolocation using bio-inspired signals. Implementation of adaptive echolocation is a new approach and can improve object characterisation and will help to achieve more accurate results.

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References

  1. Houser, D.S., Helweg, D., Moore, P.: Classification of dolphin echolocation clicks by energy and frequency distributions. The Journal of the Acoustical Society of America106, 1579–1585 (1999)

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Author information

Authors and Affiliations

  1. Heriot-Watt University, Edinburdh, UK

    Mariia Dmitrieva, Keith Brown & David Lane

Authors
  1. Mariia Dmitrieva

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  2. Keith Brown

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  3. David Lane

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Corresponding author

Correspondence toMariia Dmitrieva.

Editor information

Editors and Affiliations

  1. University of Sheffield, Sheffield, United Kingdom

    Stuart P. Wilson

  2. Catalan Institution for Research and Advanced Studies, Universitat Pompeu Fabra, Barcelona, Spain

    Paul F.M.J. Verschure

  3. Universitat Pompeu Fabra, Barcelona, Spain

    Anna Mura

  4. University of Sheffield, Sheffield, United Kingdom

    Tony J. Prescott

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© 2015 Springer International Publishing Switzerland

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Dmitrieva, M., Brown, K., Lane, D. (2015). Adaptive Bio-inspired Signals for Better Object Characterisation. In: Wilson, S., Verschure, P., Mura, A., Prescott, T. (eds) Biomimetic and Biohybrid Systems. Living Machines 2015. Lecture Notes in Computer Science(), vol 9222. Springer, Cham. https://doi.org/10.1007/978-3-319-22979-9_40

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Price includes VAT (Japan)
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  • Compact, lightweight edition
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