Mallat's Matching Pursuit of sperm whale clicks in real-time using Daubechies 15 wavelets

Lelandais, F.; Glotin, Hervé

doi:10.1109/passive.2008.4786977

Cited by 1 publication

(1 citation statement)

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“…Lopatka et al [40] developed a recursive detection technique based on a time invariant lattice filter. Recently, a wavelet matching pursuit algorithm has been considered for click detection which requires batch processing of the data [41].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Energy-Based Acoustic Sperm Whale Echolocation Click Detection

Lohrasbipeydeh

Dakin

Gulliver

et al. 2015

IEEE J. Oceanic Eng.

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Sperm whales (Physeter macrocephalus) generate a series of broadband impulsive echolocation signals called clicks when diving in search of prey. These acoustic signals can be divided into usual clicks and creak clicks. They have a frequency spectrum that lies primarily between 2 and 18 kHz. In this paper, an adaptive energy-based click detector called the adaptive Teager energy operator (ATEO) is developed. A windowing technique is used to account for the time-varying characteristics of these signals, and the window length is adapted by estimating the interclick interval (ICI). The usual clicks and creak clicks are classified via ICI differences. The proposed method is compared with several well-known techniques using real data provided by the Atlantic Undersea Test and Evaluation Center (AUTEC). Performance results are presented which show that the proposed technique is a robust and efficient detector that can improve the click detection true positive rate (TPR) as well as reduce the false positive rate (FPR).Index Terms-Adaptive detection, creak click, nonlinear detector, sperm whale, Teager energy operator (TEO), usual click. 0364-9059

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Section: Introductionmentioning

confidence: 99%