Application of Wavelet Transform for the Detection of Cetacean Acoustic Signals

文献类型： 外文期刊

第一作者： He, Ruilin

作者： He, Ruilin;Dai, Yang;Yang, Yuhao;Fan, Wei;Zhang, Shengmao;He, Ruilin;Dai, Yang;Yang, Yuhao;Fan, Wei;Zhang, Shengmao;He, Ruilin;Yang, Yuhao;Dai, Yang;Liu, Siyi;Wang, Yingdong

作者机构：

关键词： wavelet transform; short-time Fourier transform; hydrophone; Cetacean; acoustic signal; signal detection; click; whistle; burst pulse

期刊名称：APPLIED SCIENCES-BASEL （ 影响因子：2.7； 五年影响因子：2.9 ）

ISSN：

年卷期： 2023 年 13 卷 7 期

页码：

收录情况： SCI

摘要： Cetaceans are an important part of the ocean ecosystem and are widely distributed in seas across the world. Cetaceans are heavily reliant on acoustic signals for communication. Some Odontoceti can perceive their environments using their sonar system, including the detection, localization, discrimination, and recognition of objects. Acoustic signals are one of the most commonly used types of data for Cetacean research, and it is necessary to develop Cetacean acoustic signal detection methods. This study compared the performance of a manual method, short-time Fourier transform (STFT), and wavelet transform (WT) in Cetacean acoustic signal detection. The results showed that WT performs better in click detection. According to this research, we propose using STFT for whistle and burst-pulse marking and WT for click marking in dataset building. This research will be helpful in facilitating research on the habits and behaviors of groups and individuals, thus providing information to develop methods for protecting species and developing biological resources.

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