Curve Smoothing Algorithm Based on EMD

摘要：

Digital geometry signal is nonlinear and non-stationary. Using traditional signal analysis tool such as Fourier transform, Wavelet transform cant 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.

关键词： Curve smoothing Digital geometry signal EMD IMF

作者: Qin Xujia Sheng Kefang

作者单位: College of Software,Zhejiang University of Technology,Hangzhou,P.R.China,310032

会议类型: 国际会议

会议名称: 2006 International Conference on Management Science and Engineering(2006管理科学与工程国际学术研讨会)

会议地点: 武汉

会议语种:英文

页码: 1406-1410

在线出版日期: 2006-11-08（万方平台首次上网日期，不代表论文的发表时间）