@inproceedings{7356ba73057549a58968a0c48e2de3cf,
title = "GPS konum verilerinin GKA tabanli analizi ve g{\"u}r{\"u}lt{\"u}den arindirilmasi",
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.",
author = "S{\"u}leyman Baykut and Tayfun Akg{\"u}l and Semih Ergintav",
year = "2009",
doi = "10.1109/SIU.2009.5136478",
language = "T{\"u}rk{\c c}e",
isbn = "9781424444366",
series = "2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009",
pages = "644--647",
booktitle = "2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009",
note = "2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009 ; Conference date: 09-04-2009 Through 11-04-2009",
}