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Application of empirical mode energy to the analysis of fluctuating signals

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Abstract

After an aerial object enters the water, physical changes to sounds in the water caused by the accompanying bubbles are quite complex. As a result, traditional signal analyzing methods cannot identify the real physical object. In view of this situation, a novel method for analyzing the sounds caused by an aerial object’s entry into water was proposed. This method analyzes the vibrational mode of the bubbles by using empitical mode decomposition. Experimental results showed that this method can efficiently remove noise and extract the broadband pulse signal and low-frequency fluctuating signal, producing an accurate resolution of entry time and frequency. This shows the improved performance of the proposed method.

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Correspondence to Yang Li.

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Yang Li was born in 1982. She graduated from Harbin Engineering University and received the M.S. degree in 2009. She is now a PhD candidate for underwater acoustic engineering at Harbin Engineering University. Her main interests are focused on acoustic signal processing and underwater target recognition.

Si-Chun Li was born in 1963. She is a professor at Harbin Engineering University. She received the PhD degree in underwater acoustic engineering from Harbin Engineering University in 2008. Her current research interests include underwater acoustic signal processing, signal detection, passive target feature extraction and target recognition.

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Li, Y., Li, Sc., Piao, Sc. et al. Application of empirical mode energy to the analysis of fluctuating signals. J. Marine. Sci. Appl. 9, 99–104 (2010). https://doi.org/10.1007/s11804-010-9030-z

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  • DOI: https://doi.org/10.1007/s11804-010-9030-z

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