Soft-Output Signal Detection for Cetacean Vocalizations Using Spectral Entropy, K-Means Clustering and the Continuous Wavelet Transform

Underwater acoustic monitoring systems record many hours of audio data for marine research, making fast and reliable non-causal signal detection paramount. Such detectors assist in reducing the amount of labor required for signal annotations, which often contain large portions devoid of signals. Cet...

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Veröffentlicht in:	arXiv.org 2022-11
Hauptverfasser:	Rademan, Marco W, Versfeld, Daniel J, du Preez, Johan A
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Audio data Cluster analysis Clustering Continuous wavelet transform Decomposition Entropy Filtration Signal detection Signal to noise ratio Statistics - Applications Time-frequency analysis Underwater acoustics Vector quantization Wavelet transforms
Online-Zugang:	Volltext
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