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• W1971223138 abstract "One of the objectives of sperm whale signal analysis is to automatically detect the clicks emitted by sperm whales in continuous recordings and to then extract features that allow for the tracking of these animals. Sperm whale signals are particularly brief with a large band spectrum. Also, during the recordings, the noise levels are not always constant. These features make it difficult to use classical signal processing approaches such as the Fourier spectrogram. Recently, other approaches have been proposed to improve the results obtained on nonstationary nonlinear signals, such as the wavelet transform. The Hilbert-Huang transform is a pertinent alternative, because one of its advantages is to decompose the signal on itself. This paper shows that only the first six modes are sufficient for the sperm whale regular click decomposition, even when the signal-to-noise ratio is low, and that the time–frequency representation obtained using this method is appropriate for characterising and detecting sperm whale clicks." @default.
• W1971223138 created "2016-06-24" @default.
• W1971223138 creator A5082467297 @default.
• W1971223138 date "2006-11-01" @default.
• W1971223138 modified "2023-10-01" @default.
• W1971223138 title "The use of the Hilbert-Huang transform to analyze transient signals emitted by sperm whales" @default.
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• W1971223138 doi "https://doi.org/10.1016/j.apacoust.2006.04.001" @default.
• W1971223138 hasPublicationYear "2006" @default.
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