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Reduction in the Dynamical Complexity of the Ocean Ambient Noise in the Presence of Target

机译:降低靶标在存在的海洋环境噪声的动态复杂性

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摘要

In this paper, we intend to quantify the dynamical complexity ofunderwater acoustical signals (UAS) based on multiscale sample entropy (MSE). MSE is calculated for three types of UAS which were measured in the South China Sea: ambient noise, and near and distant experimental vessels moving at constant velocity. [The analysis of real UAS exhibit high entropy values were assigned for ambient noise and low values for target signals.][NOTE: it is not clear what this means] This result suggests that the ambient noise is dynamically more complex than the target signals within the ambient noise. [It is also shown that dynamical behavior of far target approaching ambient noise behavior due to the weak ship noise.] [NOTE: it is not clear what this means] This affirms that ship noise is regular and, when present in ambient noise, can be detected by the change in their dynamical complexity.
机译:在本文中,我们打算根据多尺度样本熵(MSE)来量化Wunderwater声学信号(UAS)的动态复杂性。 MSE是计算在南海的三种类型的UAS:环境噪声,近距离和远处的实验血管处于恒定速度。 [实际UAS表现出高熵值的分析被分配了环境噪声和目标信号的低值。] [注意:目前尚不清楚这意味着该结果表明环境噪声比目标信号动态更复杂环境噪音。 [还表明,由于船舶噪音弱噪声,远目标的动力学行为接近环境噪声行为。] [注意:这意味着这意味着这是常规的,当存在环境噪声时,这是常规的,可以通过改变其动态复杂性的变化来检测。

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