Empirical Mode Decomposition on Geometry Signal Based Spherical Parameterization

Abstract:

A novel method based on Empirical Mode Decomposition(EMD) is approached to process the geometry signal. The main idea is to decompose the signal into some different detail components called Intrinsic Mode Function (IMF). The key steps are as follows: First, the signal is spherical parameterization; Second it is transformed into the plane signal and sampled regularly; Third, the translated signal is processed as an image using Bid-Empirical Mode Decomposition, getting several image IMFs; Finally, invert mapping these IMFs to geometry signal and getting the geometry signal’s IMFs.We demonstrate the power of the algorithms through a number of application examples including de-noising and enhancement.

• Periodical: Advanced Materials Research (Volumes 998-999)
• Pages: 860-863
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.998-999.860
• Online since: July 2014
• Authors: Jian Guo Wang*, Qun E, Ke Ming Yao, Xin Long Wan
• Keywords: De-Noising, Empirical Mode Decomposition (EMD), Enhancement, Geometry Signal Processing

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