Article citationsMore>>

Aubauer, R., Au, W.W.L., Nachtigall, P.E., Pawloski, D.A. and DeLong, C.M. (2000) Classification of Electronically Generated Phantom Targets by an Atlantic Bottlenose Dolphin Tursiops truncatus. Journal of the Acoustical Society of America, 107, 2750-2754.
http://dx.doi.org/10.1121/1.428661

has been cited by the following article:

• TITLE: Frequency and Energy Difference Detection of Dolphin Biosonar Signals Using a Decomposition Algorithm

  AUTHORS: Mark W. Muller

  KEYWORDS: Dolphin, Biosonar, Detection, Discrimination, Decomposition

  JOURNAL NAME: Open Journal of Acoustics, Vol.6 No.1, March 29, 2016

  ABSTRACT: A set of dolphin echolocation signals previously collected from an Atlantic bottlenose dolphin in Kaneohe Bay, Hawai’i are decomposed using a matching pursuit algorithm to further investigate the role of four types of echolocation signals outlined elsewhere [1]. The method decomposes the echolocation signals into optimal linear expansions of waveforms, which are Gabor functions defined in a dictionary. The method allows for study of the changes in frequency content within a dolphin’s functional bandwidth during discrimination tasks. We investigate the role of the functional bandwidth in terms of the signal energy levels and echolocations task performance. Furthermore, ROC analysis is applied to the relative energies of the matched waveforms to determine probability of discrimination. The results suggest that dolphins may discriminate by inspection of the relevant frequency differences between targets. In addition, the results from the ROC analysis provides insight into the role of the different classes of dolphin signals and of the importance of modification of the outgoing echolocation clicks, which may be fundamental to a dolphin’s ability to identify and discriminate targets.