Segmentation of Killer Whale Vocalizations Using the Hilbert-Huang Transform
The study of cetacean vocalizations is usually based on spectrogram analysis. The feature extraction is obtained from 2D methods like the edge detection algorithm. Difficulties appear when signal-to-noise ratios are weak or when more than one vocalization is simultaneously emitted. This is the case...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2008-08-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | http://dx.doi.org/10.1155/2008/245936 |