Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xiaomeng Qiu"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Due to various unavoidable reasons or gross error elimination, missing data inevitably exist in global navigation satellite system (GNSS) position time series, which may result in many analysis methods not being applicable. Typically, interp
Externí odkaz:
https://doaj.org/article/1b9428442ceb44fc9d3448235a342895
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Due to the strong noise that exists in GRACE (Gravity Recovery and Climate Experiment) temporal gravity field solutions, geophysical signals are normally drowned which need many effective filtering approaches. Considering the advantage of the ensembl
Externí odkaz:
https://doaj.org/article/20b32759244e49d28f402a9d52925098
Autor:
Xiaomeng Qiu
Publikováno v:
Acta Geodynamica et Geomaterialia. :271-279
The Global Navigation Satellite System (GNSS) can provide the daily position time series for the geodesy and geophysical studies. However, due to various unpredictable factors, such as receiver failure or bad observation conditions, missing data inev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::160ed53cc0ce75cb12549ce5ef8482c4
https://doi.org/10.13168/agg.2022.0012
https://doi.org/10.13168/agg.2022.0012
Autor:
Xiaomeng Qiu
Publikováno v:
Acta Geodynamica et Geomaterialia. :399-408
Empirical Mode Decomposition (EMD) is suitable to process the nonlinear and non-stationary time series for filtering noise out to extract the signals. The formal errors are provided along with Global Navigation Satellite System (GNSS) position time s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddcd366876a08d0c92d271ab5aafc397
https://doi.org/10.13168/agg.2021.0028
https://doi.org/10.13168/agg.2021.0028
Publikováno v:
Proceedings of International Symposium on Grids & Clouds 2022 — PoS(ISGC2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce195d480b78316f7ad1a6afccd6d312
https://doi.org/10.22323/1.415.0017
https://doi.org/10.22323/1.415.0017