Network Traffic IMF Selection Method Based on EMD

DOI

10.2991/ameii-15.2015.122How to use a DOI?

Keywords

EMD; average mutual information; nonlinear correlation coefficient; IMF selection.

Abstract

Empirical mode decomposition is an advanced time-frequency analysis method, but it will produce a few invalid components in the process of decomposition. For this problem, the paper proposes a nonlinear correlation coefficient method that is based on the average mutual information. The method can get different the Intrinsic Mode Function by using EMD decomposition of the original signal, and then calculate the nonlinear correlation coefficient about each Intrinsic Mode Function (IMF) and the original signal, and find invalid component through comparing with the threshold. The experimental result shows that the method is a more effective way to select the IMF, which can obviously distinguish the real components and the invalid components.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiuli Du
AU  - Yasheng Sun
AU  - Shaoming Qiu
PY  - 2015/04
DA  - 2015/04
TI  - Network Traffic IMF Selection Method Based on EMD
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 661
EP  - 664
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.122
DO  - 10.2991/ameii-15.2015.122
ID  - Du2015/04
ER  -