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Research on Blind Source Separation of Marine Mammals Signal Processing under Water craft Emitted Noise

机译:水工艺发出噪声下船舶哺乳动物信号处理的盲源分离研究

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As statistical independence exists between marine mammals sound and watercraft emitted noise and among different organism signals, the study introduces blind source separation into marine mammal signals processing. Blind source separation with single hydrophone is a special underdetermined blind separation problem and blind source separation based on matrix calculating is no longer suitable. The problem can be solved by expanding channels and further study finds that second iteration of blind separation can improve the performance. Algorithm simulation and experimental data analysis show that not only marine mammals signal but also different organism signals can be separated by this method with single hydrophone. It is proved that the correlation coefficient of the separated signal is obviously improved, which lays the foundation for the feature extraction and recognition of marine mammals signal.
机译:作为海洋哺乳动物声音和船舶发射噪声和不同的生物信号之间存在统计独立性,研究将盲来源分离引入海洋哺乳动物信号处理中。盲源分离与单个水听器是一个特殊的未确定的盲分离问题,基于矩阵计算的盲源分离不再适合。可以通过扩展渠道来解决问题,进一步的研究发现,盲分离的第二次迭代可以提高性能。算法模拟和实验数据分析表明,不仅是海洋哺乳动物信号,还可以通过单个水听器分离不同的生物信号。事实证明,分离信号的相关系数明显改善,为船用哺乳动物信号的特征提取和识别奠定了基础。

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