Curve smoothing algorithm based on EMD

被引：0

作者：

Qin Xujia ^{[1
]}

Sheng Kefang ^{[1
]}

机构：

[1] Zhejiang Univ Technol, Coll Software, Hangzhou 310032, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF THE 2006 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING | 2006年

关键词：

curve smoothing; digital geometry signal; EMD; IMF;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Digital geometry signal is nonlinear and non-stationary. Using traditional signal analysis tool such as Fourier transform, Wavelet transform can't decompose the geometry signal efficiently. Empirical mode decomposition (EMD) is a new method for non-stationary signal analyzing. In this paper, a novel algorithm for digital curve smoothing based on EMD is presented. The algorithm composes of following steps: Firstly, extend 2D curve to 1D signal. Secondly, decompose the extended signal into a collection of intrinsic mode functions (IMF) by using EMD. Thirdly, remove the high frequency IMFs and reconstructing the signal. Finally, mapping the reconstructed signal to 2D, and the smoothing curve is obtained.

引用

页码：1406 / 1410

页数：5

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