Naval Undersea Warfare Center, 1176 Howell Street, Newport, Rhode Island 02841, USA.
J Acoust Soc Am. 2011 Jun;129(6):3598-609. doi: 10.1121/1.3578454.
In this paper an algorithm is described for grouping sperm whale clicks received at a single hydrophone into click-trains associated with a given whale and propagation path. To accomplish this, features are extracted from pairs of clicks in order to derive a statistical measure of click similarity. Then, the algorithm maximizes a global measure of similarity between the associated clicks. In addition to grouping clicks according to click-trains, it classifies click-trains into a propagation path (direct, surface, bottom reverberation). The propagation path is identified using a combination of (1) a statistical classifier operating on features extracted from individual clicks and (2) the cross-correlation of click-trains to identify the relative time delays. The algorithm is demonstrated on at-sea recorded data, showing the elimination of time-delay ambiguities associated with the reverberation paths observed at sensor pairs.
本文描述了一种算法，用于将单个水听器接收到的抹香鲸的咔哒声分为与给定鲸鱼和传播路径相关的咔哒声序列。为此，从一对咔哒声中提取特征，以得出咔哒声相似性的统计度量。然后，算法最大化相关咔哒声之间的全局相似性度量。除了根据咔哒声序列对咔哒声进行分组外，该算法还将咔哒声序列分类为传播路径（直接、表面、底部混响）。传播路径是使用（1）从单个咔哒声中提取特征的统计分类器和（2）咔哒声序列的互相关来识别相对时间延迟的组合来识别的。该算法在海上记录的数据上进行了演示，展示了消除与传感器对中观察到的混响路径相关的时间延迟歧义的方法。
