GPS konum verilerinin GKA tabanli analizi ve gürültüden arindirilmasi

Translated title of the contribution: EMD-based analysis and denoising of GPS data

Süleyman Baykut*, Tayfun Akgül, Semih Ergintav

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

In this study Empirical Mode Decomposition (EMD)-based denoising of the Global Positioning System (GPS) data is explored. EMD is a data-driven new technique which is proposed by Huang and improved by Flandrin and his colleagues. For only white noise or only colored noise cases, a denoising algorithm is proposed in literature. This study expands the denoising scheme for white + colored noise case, which is applicable to some real signals such as Global Positioning System (GPS) based geodetic time series. The results for synthetic data and real GPS data are presented.

Translated title of the contributionEMD-based analysis and denoising of GPS data
Original languageTurkish
Title of host publication2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009
Pages644-647
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009 - Antalya, Turkey
Duration: 9 Apr 200911 Apr 2009

Publication series

Name2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009

Conference

Conference2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009
Country/TerritoryTurkey
CityAntalya
Period9/04/0911/04/09

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