快速自适应经验模态分解方法的基本原理及其性能评估

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振动与冲击 ›› 2016, Vol. 35 ›› Issue (3) : 14-19.

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周义，李鸿光

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The basic principle and performance evaluation on fast and adaptive empirical mode decomposition

ZHOU Yi LI Hong-guang

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摘要

经验模态分解是一种有效的信号分解方法，尤其是针对非平稳非线性信号。然而，随着研究的深入，学者们发现该方法中存在着诸多弊端。本文根据Bhuiyan的研究，提出了一种针对一维信号的快速自适应经验模态分解方法。通过大量的数值仿真，证明这种方法不但能克服传统方法的弊端、得到高质量的分解结果，还能大幅度地提高计算效率。

Abstract

Empirical mode decomposition is an effective signal decomposition method, especially for non-stationary and non-linear signals. But it is found by researchers that there exist a lot of drawbacks with intensive studies. Therefore, a 1D signal processing method, called fast and adaptive empirical mode decomposition, is proposed according to the Bhuiyan’s study in this paper. It has been proved by numerous numerical simulations that this method can not only overcome drawbacks of traditional methods and then obtain decomposition results with high quality, but also enhance computing efficiency.

关键词

经验模态分解 / 快速自适应经验模态分解 / 数值仿真

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周义，李鸿光. 快速自适应经验模态分解方法的基本原理及其性能评估[J]. 振动与冲击, 2016, 35(3): 14-19

ZHOU Yi LI Hong-guang. The basic principle and performance evaluation on fast and adaptive empirical mode decomposition[J]. Journal of Vibration and Shock, 2016, 35(3): 14-19

参考文献

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