| 经验模式能量在脉动信号分析中的应用(英文) |
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| 引用本文： | 李杨,李思纯,朴胜春,孙世钧.经验模式能量在脉动信号分析中的应用(英文)[J].船舶与海洋工程学报,2010,9(1):99-104. |
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| 作者姓名： | 李杨 李思纯 朴胜春 孙世钧 |
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| 作者单位： | |
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| 摘 要： | 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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| 关 键 词： | 信号分析 波动 应用 能源 物理对象 振动模式 模式分解 低频信号 |
Application of empirical mode energy to the analysis of fluctuating signals |
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| Yang Li,Si-chun Li,Sheng-chun Piao,Shi-jun Sun.Application of empirical mode energy to the analysis of fluctuating signals[J].Journal of Marine Science and Application,2010,9(1):99-104. |
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| Authors: | Yang Li Si-chun Li Sheng-chun Piao Shi-jun Sun |
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| Institution: | National Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China |
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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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| Keywords: | empirical mode decomposition energy feature extraction fluctuant signal analysis |
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