检测和分类蓝的呼叫与波纹散射和光谱
M W Rademan1, D J J Versfeld1, J A du Preez1
1Department of Electrical and Electronic Engineering, Stellenbosch University, Cape Town 7600, South Africa.
The Journal of the Acoustical Society of America
|February 24, 2025
概括
波纹散射改善了对南极蓝的呼叫进行被动声学监测. 这种方法与自适应白化和光谱探测相结合,可以在最少的数据中增强叫声检测.
科学领域:
- 生物声学是一种生物声学.
- 信号处理 信号处理
- 机器学习 机器学习
背景情况:
- 被动声学监测 (PAM) 对于海洋哺乳动物研究至关重要.
- 特性提取是提高PAM性能的关键.
- 波纹散射提供了强大的特征提取能力.
研究的目的:
- 将波纹散射引入到被动声学监测中.
- 加强对南极蓝的探测 呼叫.
- 评估使用自适应白化和光谱检测的波纹散射的性能.
主要方法:
- 应用波纹散射变换用于特征提取.
- 实施了自适应白化技术,以改善信号噪声比.
- 使用了一种带有新值方法的光谱探测器.
- 训练了一个简单的分类器,数据有限.
主要成果:
- 波纹散射功能显著提高了探测器性能.
- 综合方法在南极蓝的呼叫中表现出高效.
- 适应性美白增强了检测效率.
- 一个简单的分类器在最小的训练数据下取得了强的结果.
结论:
- 波纹散射是PAM的相关和有效的特征提取方法.
- 拟议的方法增强了对特定海洋哺乳动物发声的检测.
- 这种方法为生物声学分析和保护工作提供了一个有希望的工具.
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