Study on the GPS Data De-noising Method Based on Wavelet Analysis - Computer and Computing Technologies in Agriculture V - Part II
Conference Papers Year : 2012

Study on the GPS Data De-noising Method Based on Wavelet Analysis

Debao Yuan
  • Function : Author
  • PersonId : 988270
CUMT
Ximin Cui
  • Function : Author
  • PersonId : 988271
CUMT
Guo Wang
  • Function : Author
  • PersonId : 988272
CUMT
Jingjing Jin
  • Function : Author
CUMT
Dongli Fan
  • Function : Author
CUMT
Xiaogang Jia
  • Function : Author
CUMT

Abstract

Signal de-noising is one of the classical problems in the field of signal processing. As a new signal processing tools, wavelet analysis, which has excellent noise performance, has caused growing concern and attention. The wavelet threshold de-noising has been researched systematacially, and the wavelet de-noising method is used on the GPS signal, which has achieved very good results.

Domains

Computer Science [cs]
Fichier principal
Vignette du fichier
978-3-642-27278-3_42_Chapter.pdf (278.89 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Hal Ifip  : Connect in order to contact the contributor

https://inria.hal.science/hal-01361007

Submitted on : Tuesday, September 6, 2016-3:15:40 PM

Last modification on : Tuesday, September 6, 2016-4:06:06 PM

Long-term archiving on : Wednesday, December 7, 2016-2:12:24 PM

Download

Dates and versions

hal-01361007 , version 1 (06-09-2016)

Licence

Attribution

Identifiers

Cite

Debao Yuan, Ximin Cui, Guo Wang, Jingjing Jin, Dongli Fan, et al.. Study on the GPS Data De-noising Method Based on Wavelet Analysis. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.390-399, ⟨10.1007/978-3-642-27278-3_42⟩. ⟨hal-01361007⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

IFIP IFIP-AICT IFIP-TC IFIP-TC5 IFIP-WG5-14 IFIP-CCTA IFIP-AICT-369
65 View
305 Download

Altmetric

Share

More