Application of EMD in fringe analysis: new developments

Application of EMD in fringe analysis: new developments

Empirical mode decomposition (EMD) based methods have been widely used in fringe pattern analysis, including denoising, detrending, normalization, etc. The common problem of using EMD and Bi-dimensional EMD is the mode mixing problem, which is generally caused by uneven distribution of extrema. In r...

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Bibliographic Details
Main Authors: Wang, Chenxing, Kemao, Qian, Da, Feipeng, Gai, Shaoyan
Other Authors: Asundi, Anand K.
Format: Conference or Workshop Item
Language:English
Published: 2018
Subjects:
Mode Mixing Problem
Empirical Mode Decomposition
DRNTU::Engineering::Computer science and engineering
Online Access:https://hdl.handle.net/10356/102953
http://hdl.handle.net/10220/47270
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Institution: Nanyang Technological University
Language: English
Description
Summary:Empirical mode decomposition (EMD) based methods have been widely used in fringe pattern analysis, including denoising, detrending, normalization, etc. The common problem of using EMD and Bi-dimensional EMD is the mode mixing problem, which is generally caused by uneven distribution of extrema. In recent years, we have proposed some algorithms to solve the mode mixing problem and further applied these methods in fringe analysis. In this paper, we introduce the development of these methods and show the successful results of two most recent algorithms.

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