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Filtration of deterministic and random constituents of acoustic signal and acoustic field of the ocean

机译:过滤海洋声信号和声场的确定性和随机成分

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摘要

The acoustic pressure and fluid particle velocity of the acoustic signal and also ambient noise of the ocean can be represented as the sum of regular (random) and sigular (deterministic) constituents. These constituents contain information about both signal and medium and the noise generation mechanisms. An algorithm which allows us to filter these constituents is discussed which allows us to filter these constituents is discussed in the paper. The algorithm uses the results of measurements of acoustic pressure and particle velocity. The suggested algorithm may be applied to any N-component stationary and/or homogeneous fields or processes, if the components are related each other by linear transformation while the random constituents are noncorrelated.
机译:声音信号的声压和流体粒子速度以及海洋的环境噪声可以表示为规则(随机)成分和信号(确定性)成分的总和。这些成分包含有关信号和介质以及噪声生成机制的信息。本文讨论了一种允许我们过滤这些成分的算法,该算法允许我们过滤这些成分。该算法使用声压和粒子速度的测量结果。如果组件通过线性变换相互关联,而随机分量不相关,则建议的算法可以应用于任何N分量平稳和/或齐次场或过程。

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