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A new bidimensional EMD algorithmand its applications

Yang, Z, Jiang, J, Yang, L, Qing, C, Ling, BWK and Dai, Q (2014) A new bidimensional EMD algorithmand its applications 2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014. pp. 152-155.

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© 2014 IEEE.Empirical mode decomposition (EMD) is a powerful tool for analysis of non-stationaryand nonlinear signals, and has drawn significant attention in various engineeringapplication areas. This paper presents a new bidimensional EMD based on the adaptive anisotropic triangulations. Specifically, we define the local mean surface of the data, which is a key step in bidimensional EMD, by a locally weighted mean filter with variable window sizes that are determined by the adaptive anisotropic triangulations. Numerical experimentsshow that the proposed method achieves effective empirical mode decomposition for 2D signals.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
Yang, Z
Yang, L
Qing, C
Ling, BWK
Dai, Q
Date : 1 January 2014
DOI : 10.1109/CSNDSP.2014.6923815
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:32
Last Modified : 25 Jan 2020 00:04

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