The modified ensemble empirical mode decomposition method and extraction of oceanic internal wave from synthetic aperture radar image
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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 waveCLC number
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References
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