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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sg-ntu-dr.10356-1029532020-03-07T11:48:50Z Application of EMD in fringe analysis: new developments Wang, Chenxing Kemao, Qian Da, Feipeng Gai, Shaoyan Asundi, Anand K. Huang, Xiyan Xie, Yi School of Computer Science and Engineering International Conference on Optical and Photonics Engineering (icOPEN 2016) Multi-plAtform Game Innovation Centre Mode Mixing Problem Empirical Mode Decomposition DRNTU::Engineering::Computer science and engineering 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. NRF (Natl Research Foundation, S’pore) Published version 2018-12-28T05:21:47Z 2019-12-06T21:02:42Z 2018-12-28T05:21:47Z 2019-12-06T21:02:42Z 2017 Conference Paper Wang, C., Kemao, Q., Da, F., & Gai, S. (2017). Application of EMD in fringe analysis: new developments. International Conference on Optical and Photonics Engineering (icOPEN 2016), 10250, 1025019-. doi:10.1117/12.2266700 https://hdl.handle.net/10356/102953 http://hdl.handle.net/10220/47270 10.1117/12.2266700 en © 2017 Society of Photo-optical Instrumentation Engineers (SPIE). This paper was published in International Conference on Optical and Photonics Engineering (icOPEN 2016) and is made available as an electronic reprint (preprint) with permission of Society of Photo-optical Instrumentation Engineers (SPIE). The published version is available at: [http://dx.doi.org/10.1117/12.2266700]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 4 p. application/pdf |
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Mode Mixing Problem Empirical Mode Decomposition DRNTU::Engineering::Computer science and engineering |
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Mode Mixing Problem Empirical Mode Decomposition DRNTU::Engineering::Computer science and engineering Wang, Chenxing Kemao, Qian Da, Feipeng Gai, Shaoyan Application of EMD in fringe analysis: new developments |
| description |
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. |
| author2 |
Asundi, Anand K. |
| author_facet |
Asundi, Anand K. Wang, Chenxing Kemao, Qian Da, Feipeng Gai, Shaoyan |
| format |
Conference or Workshop Item |
| author |
Wang, Chenxing Kemao, Qian Da, Feipeng Gai, Shaoyan |
| author_sort |
Wang, Chenxing |
| title |
Application of EMD in fringe analysis: new developments |
| title_short |
Application of EMD in fringe analysis: new developments |
| title_full |
Application of EMD in fringe analysis: new developments |
| title_fullStr |
Application of EMD in fringe analysis: new developments |
| title_full_unstemmed |
Application of EMD in fringe analysis: new developments |
| title_sort |
application of emd in fringe analysis: new developments |
| publishDate |
2018 |
| url |
https://hdl.handle.net/10356/102953 http://hdl.handle.net/10220/47270 |
| _version_ |
1681042250718511104 |