Abstract
Ensemble empirical mode decomposition (EEMD) is a powerful tool for processing signals with intermittency. However, a problem existing in the EEMD method is the absent guide to how much amplitude of the added white noise should be appropriate for the researched signal. To begin with, the problem was investigated using a noiseless simulated signal. Moreover, based on the conclusions obtained in the above step, the improved EEMD (IEEMD) method was proposed to deal with the noisy signals. Then, a noisy simulated signal was used to measure the performance of the IEEMD method. The results showed that the IEEMD method could greatly alleviate the problem concerning the EEMD method. Additionally, the paper indicates that the IEEMD method may be an improvement on the EEMD method.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Lin, J. (2012). Improved Ensemble Empirical Mode Decomposition Method and Its Simulation. In: Lee, G. (eds) Advances in Intelligent Systems. Advances in Intelligent and Soft Computing, vol 138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27869-3_14
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DOI: https://doi.org/10.1007/978-3-642-27869-3_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27868-6
Online ISBN: 978-3-642-27869-3
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