A general purpose automatic detector of broadband transient signals in underwater audio
dc.contributor.author | Madhusudhana, S. | |
dc.contributor.author | Gavrilov, Alexander | |
dc.contributor.author | Erbe, Christine | |
dc.date.accessioned | 2019-02-19T04:15:06Z | |
dc.date.available | 2019-02-19T04:15:06Z | |
dc.date.created | 2019-02-19T03:58:18Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Madhusudhana, S. and Gavrilov, A. and Erbe, C. 2018. A general purpose automatic detector of broadband transient signals in underwater audio. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/73899 | |
dc.identifier.doi | 10.1109/OCEANSKOBE.2018.8559259 | |
dc.description.abstract |
© 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.title | A general purpose automatic detector of broadband transient signals in underwater audio | |
dc.type | Conference Paper | |
dcterms.source.title | 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018 | |
dcterms.source.series | 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018 | |
dcterms.source.isbn | 9781538616543 | |
curtin.department | Centre for Marine Science and Technology | |
curtin.accessStatus | Fulltext not available |
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