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dc.contributor.authorMadhusudhana, S.
dc.contributor.authorGavrilov, Alexander
dc.contributor.authorErbe, Christine
dc.identifier.citationMadhusudhana, S. and Gavrilov, A. and Erbe, C. 2018. A general purpose automatic detector of broadband transient signals in underwater audio.

© 2018 IEEE. A spectrogram-based technique is presented for detection of time-and-bandwidth limited broadband signals in underwater audio. The approach employs an iterative 1-dimensional variant of a 2-dimensional multi-scale blob-detection technique commonly used in image processing. In contrast to the referenced 2-dimensional technique subject to an inherent bias for circular features, the iterative 1-dimensional approach enables detection of features of arbitrary bandwidth and duration. The iterative nature (of processing successive frames) makes it an attractive choice for in-situ streaming-mode applications. The algorithm automatically chooses values for several parameters based on the input spectrogram’s frequency bounds and hence is capable of being readily employed for a variety of applications. The technique’s applications include detection of broadband signals of interest, such as Omura’s whale (Balaenoptera omurai) calls, underwater earthquakes or explosions. With long-term spectral averages, the technique may be used in identifying long-lasting sounds contributing to ambient noise, such as fish choruses or the sounds of wind and rain. A theoretical analysis of the proposed technique’s performance is provided and its detection capability is demonstrated using representative examples.

dc.titleA general purpose automatic detector of broadband transient signals in underwater audio
dc.typeConference Paper
dcterms.source.title2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
dcterms.source.series2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
curtin.departmentCentre for Marine Science and Technology
curtin.accessStatusFulltext not available

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