Signal Processing for Marine Mammal Localization and Deconvolution of Biological Acoustic Transients

最近，人们对人类干预海洋环境对海洋哺乳动物的生活和习惯的影响表示关切。 对此，研究人员有兴趣处理所有相关信息，以更好地了解这种干扰，希望和保护海洋生物的目标。 在这方面，正在开发信号处理方法，以探测海洋哺乳动物发出的声音。 这项研究的成功将使我们能够通过远程声学传感跟踪哺乳动物并重建它们产生的信号。 确定海洋中的海洋哺乳动物并识别它们产生的声音需要在物理（声学）和信号处理之间建立联系。 正采用简正波方法模拟海洋环境中的声信号传播，然后将寻求捕捉生物信号的时间和频率结构的模型。 声学和信号分析的结合，预计将有助于在海洋中的阵列测量的声场的反演，以估计的位置的声音传输海洋哺乳动物和它们发送的信号的实际形式。

Concerns about the effects of human interference in the oceanic environment upon the life and habits of marine mammals have been recently raised. In response, researchers have taken interest in processing all relevant information to better understand this interference with the hope and goal of protecting marine life. In this context, the development of signal processing methods for the exploration of sounds generated by marine mammals in the ocean is being pursued. Success of this research will enable the tracking of mammals, and the reconstruction of the signals they produce, through remote acoustic sensing. Localizing marine mammals in the ocean and identifying the sounds they generate requires the establishment of a link between physics (acoustics) and signal processing. The normal modes approach is being adopted for modeling the acoustic signal propagation in the oceanic environment Models will then be sought that capture the time and frequency structure of biological signals. The combination of acoustics and signal analysis is expected to facilitate inversion of the acoustic field measured at an array in the ocean for the estimation of the location of sound-transmitting marine mammals and the actual form of the signals they transmit.