Modal estimation in underwater acoustics by data-driven structured sparse decompositions

2021 29th European Signal Processing Conference (EUSIPCO)(2021)

引用 0|浏览1
暂无评分
摘要
In underwater acoustics, shallow water environments act as modal dispersive waveguides when considering lowfrequency sources. In this context, propagating signals can be described as a sum of few modal components, each of them propagating according to its own wavenumber. Estimating these wavenumbers is of key interest to understand the propagating environment as well as the emitting source. To sol...
更多
查看译文
关键词
Training,Signal processing algorithms,Europe,Estimation,Approximation algorithms,Bayes methods,Underwater acoustics
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要