J Shanghai Jiaotong Univ Sci

Journal of shanghai Jiaotong University (Science) ›› 2015, Vol. 20 ›› Issue (2): 243-250.doi: 10.1007/s12204-015-1614-y

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The Modified Ensemble Empirical Mode Decomposition Method and Extraction of Oceanic Internal Wave from Synthetic Aperture Radar Image

The Modified Ensemble Empirical Mode Decomposition Method and Extraction of Oceanic Internal Wave from Synthetic Aperture Radar Image

WANG Jing-tao1,3 (王静涛), XU Xiao-ge2,3* (许晓革), MENG Xiang-hua3? (孟祥花)   

  1. (1. Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China; 2. School of Information, Beijing Wuzi University, Beijing 101149, China; 3. School of Applied Science, Beijing Information Science and Technology University, Beijing 100192, China)
  2. (1. Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China; 2. School of Information, Beijing Wuzi University, Beijing 101149, China; 3. School of Applied Science, Beijing Information Science and Technology University, Beijing 100192, China)
  • Published:2015-04-02
  • Contact: XU Xiao-ge(许晓革), MENG Xiang-hua(孟祥花) E-mail:xxg@bistu.edu.cn, xhmeng@bistu.edu.cn

Abstract: In this paper a modified ensemble empirical mode decomposition (EEMD) method is presented, which is named winning-EEMD (W-EEMD). Two aspects of the EEMD, the amplitude of added white noise and the number of intrinsic mode functions (IMFs), are discussed in this method. The signal-to-noise ratio (SNR) is used to measure the amplitude of added noise and the winning number of IMFs (which results most frequency) is used to unify the number of IMFs. By this method, the calculation speed of decomposition is improved, and the relative error between original data and sum of decompositions is reduced. In addition, the feasibility and effectiveness of this method are proved by the example of the oceanic internal solitary wave.

Key words: winning ensemble empirical mode decomposition (W-EEMD)| signal-to-noise ratio (SNR)| winning number| intrinsic mode functions| oceanic internal wave

摘要： In this paper a modified ensemble empirical mode decomposition (EEMD) method is presented, which is named winning-EEMD (W-EEMD). Two aspects of the EEMD, the amplitude of added white noise and the number of intrinsic mode functions (IMFs), are discussed in this method. The signal-to-noise ratio (SNR) is used to measure the amplitude of added noise and the winning number of IMFs (which results most frequency) is used to unify the number of IMFs. By this method, the calculation speed of decomposition is improved, and the relative error between original data and sum of decompositions is reduced. In addition, the feasibility and effectiveness of this method are proved by the example of the oceanic internal solitary wave.

关键词: winning ensemble empirical mode decomposition (W-EEMD)| signal-to-noise ratio (SNR)| winning number| intrinsic mode functions| oceanic internal wave

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