End Effect Processing for Empirical Mode Decomposition Using Fuzzy Inductive Reasoning

Abstract:

This paper focuses on the end effect problem of the empirical mode decomposition (EMD) algorithm, which results in a serious distortion in the EMD sifting process. A new method based on fuzzy inductive reasoning (FIR) is proposed to overcome the end effect. Fuzzy inductive reasoning method has simple inferring rules and strong predictive capability. The fuzzy inductive reasoning based method uses the sequence near the end as the input signal of fuzzy inductive reasoning model. This predictive value can be obtained after fuzzification, qualitative modeling ,qualitative simulation and debluring. The simulation results have shown that the fuzzy inductive reasoning based method has equivalent performance to the neural network based method.

• Periodical: Applied Mechanics and Materials (Volumes 55-57)
• Pages: 407-412
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.55-57.407
• Online since: May 2011
• Authors: Ye Yuan, Zhong Kai Yang, Qing Fu Li
• Keywords: Empirical Mode Decomposition (EMD), End Effect Processing, Fuzzy Inductive Reasoning

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