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Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 5 | Journal not listed on ministry scored journal list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 5 | Journal not listed on ministry scored journal list 2024 |
| 2023 | 5 | Not listed on the ministry scored journals list 2023 |
| 2022 | 5 | Not listed on the ministry scored journals list (2019-2022) |
| 2021 | 5 | Not listed on the ministry scored journals list (2019-2022) |
| 2020 | 5 | Not listed on the ministry scored journals list (2019-2022) |
| 2019 | 5 | Not listed on the ministry scored journals list (2019-2022) |
| 2016 | 15 | A |
| 2015 | 15 | A |
| 2014 | 15 | A |
| 2013 | 15 | A |
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total: 2
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Year 2015
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On the Handling of Outliers in the GNSS Time Series by Means of the Noise and Probability Analysis
PublicationThe data pre-analysis plays a significant role in the noise determination. The most important issue is to find an optimum criterion for outliers removal, since their existence can affect any further analysis. The noises in the GNSS time series are characterized by spectral index and amplitudes that can be determined with a few different methods. In this research, the Maximum Likelihood Estimation (MLE) was used. The noise amplitudes...
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Spatio-temporal filtering for determination of common mode error in regional GNSS networks
PublicationThe spatial correlation between different stations for individual components in the regional GNSS networks seems to be significant. The mismodelling in satellite orbits, the Earth orientation parameters (EOP), largescale atmospheric effects or satellite antenna phase centre corrections can all cause the regionally correlated errors. This kind of GPS time series errors are referred to as common mode errors (CMEs). They are usually...
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