在浅水中回收 modal 组件的自动化方法
Angèle Niclas1, Josselin Garnier2
1Mathématiques Appliquées à Paris 5, Centre National de la Recherche Scientifique, Université Paris Cité, Paris, 75006, France.
The Journal of the Acoustical Society of America
|April 1, 2024
概括
本研究引入了一种用于分离水下声音信号的自动化方法. 该技术使用先进的算法来从浅水中单个水力声录音中恢复模态组件.
科学领域:
- 海洋声学 海洋声学
- 信号处理 信号处理
- 水下声学 水下声学
背景情况:
- 浅水环境为水下声信号分析带来了独特的挑战.
- 从声信号中恢复模态组件对于源识别和环境特征是至关重要的.
- 现有的方法通常需要人工干预,以提取模态组件.
研究的目的:
- 开发一种完全自动化的方法,用于从浅水中单个水音机录制的声信号中回收模态组件.
- 为了消除在模态组件提取中需要手动选择时间的需要.
主要方法:
- 拟议的自动化算法使用曲法来进行模态组件的时频分离.
- 连续的提取是通过由质量因子指导的自动时间选择进行的.
- 用一个分水算法来实现高效的 modal 组件分离.
主要成果:
- 自动化方法成功地在没有人工干预的情况下将模式组件分开.
- 该算法在各种实验数据集上表现出有效性,包括鱼发声和人工声音源.
- 验证使用来自浅水环境的真实世界声学数据进行.
结论:
- 开发的自动化方法为浅水声学中的 modal 组件回收提供了一种高效和强大的方法.
- 这种技术显著简化了水下声学信号的分析.
- 这些发现对被动声学监测和海洋生物声学有影响.
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