Fei Bao

Publications (2)3.1 Total impact

• Article: Ship classification using nonlinear features of radiated sound: an approach based on empirical mode decomposition.

  Fei Bao, Chen Li, Xinlong Wang, Qingfu Wang, Shuanping Du
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  ABSTRACT: Classification for ship-radiated underwater sound is one of the most important and challenging subjects in underwater acoustical signal processing. An approach to ship classification is proposed in this work based on analysis of ship-radiated acoustical noise in subspaces of intrinsic mode functions attained via the ensemble empirical mode decomposition. It is shown that detection and acquisition of stable and reliable nonlinear features become practically feasible by nonlinear analysis of the time series of individual decomposed components, each of which is simple enough and well represents an oscillatory mode of ship dynamics. Surrogate and nonlinear predictability analysis are conducted to probe and measure the nonlinearity and regularity. The results of both methods, which verify each other, substantiate that ship-radiated noises contain components with deterministic nonlinear features well serving for efficient classification of ships. The approach perhaps opens an alternative avenue in the direction toward object classification and identification. It may also import a new view of signals as complex as ship-radiated sound.
  The Journal of the Acoustical Society of America 07/2010; 128(1):206-14. · 1.55 Impact Factor
• Source

  Available from: ntnu.edu.tw

  Article: Adaptive extraction of modulation for cavitation noise.

  Fei Bao, Xinlong Wang, Zhiyong Tao, Qingfu Wang, Shuanping Du
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  ABSTRACT: Modulation analysis is an important issue in target classification and identification for ship-radiated noise. However, the modulated cavitation noise sought for analyzing is always submerged under strong ambient noise and difficult to be separated out. In this paper, an approach is proposed to extract the modulated cavitation noise adaptively by combining empirical mode decomposition and singular value decomposition. The results for both synthetical and practical signals demonstrate the practicability and effectivity of the approach.
  The Journal of the Acoustical Society of America 12/2009; 126(6):3106-13. · 1.55 Impact Factor