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Using Discrete Wavelet Transform to Model Whistle Contours for Dolphin Species Classification

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Paula_Lopez-Otero_2018_Using_Discrete_Wavelet_Transform_to_Model_Whistle_Contours_for_Dolphin_Species_Classification.pdf (183.69 KB)

Identifiers

URI: http://hdl.handle.net/2183/21151
DOI: 10.3390/proceedings2181183

Publication date

2018-09-17

Authors

Docío-Fernández, Laura
Cardenal-López, Antonio

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Journal Title

Bibliographic citation

Lopez-Otero, P.; Docio-Fernandez, L.; Cardenal-López, A. Using Discrete Wavelet Transform to Model Whistle Contours for Dolphin Species Classification. Proceedings 2018, 2, 1183.

Type of academic work

Academic degree

Abstract

[Abstract] This work proposes the use of features based on the discrete wavelet transform (DWT) for dolphin species classification. These features are compared with other previously used in the literature, and the experiments carried out in a database featuring four different species of cetaceans (three dolphins and a pilot whale) showed that the use of DWT features led to improved classification performance.

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Trátase dun resumo estendido da ponencia

Keywords

Cetacean classification Whistle contour Discrete wavelet transform

Editor version

https://doi.org/10.3390/proceedings2181183

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Atribución 3.0 España

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Atribución 3.0 España

Except where otherwise noted, this item's license is described as Atribución 3.0 España