DocumentCode
518217
Title
Notice of Retraction
The study on noise reduction model of GPS dynamic deformation data based on wavelet analysis
Author
Li Xipan ; Zhang Anbing ; Hu Jing
Author_Institution
Hebei Univ. of Eng., Handan, China
Volume
3
fYear
2010
fDate
16-18 April 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
On the basis of wavelet threshold noise reduction model, we researched and analyzed three kinds of noise reduction methods, they were the hard threshold and soft threshold and improved threshold. We based on the features of GPS dynamic deformation monitoring data sequence, combined with the measured data and respectively used three kinds of noise reduction threshold model to do experiments and analyzed the effect of different threshold selection to the noise reduction. Experimental results showed that the improved model of the noise reduction threshold value was better than the other two methods and can effectively identify the trends.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
On the basis of wavelet threshold noise reduction model, we researched and analyzed three kinds of noise reduction methods, they were the hard threshold and soft threshold and improved threshold. We based on the features of GPS dynamic deformation monitoring data sequence, combined with the measured data and respectively used three kinds of noise reduction threshold model to do experiments and analyzed the effect of different threshold selection to the noise reduction. Experimental results showed that the improved model of the noise reduction threshold value was better than the other two methods and can effectively identify the trends.
Keywords
Global Positioning System; wavelet transforms; GPS dynamic deformation monitoring data sequence; hard threshold; noise reduction methods; soft threshold; wavelet analysis; Continuous wavelet transforms; Data engineering; Deformable models; Fourier transforms; Global Positioning System; Monitoring; Noise reduction; Signal analysis; Wavelet analysis; Wavelet transforms; modeling; noise reduction; threshold; wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485862
Filename
5485862
Link To Document