Articles | Volume 22, issue 4
https://doi.org/10.5194/npg-22-371-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-22-371-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Jul 2015
Research article |
| 10 Jul 2015
Improved singular spectrum analysis for time series with missing data
Y. Shen
CORRESPONDING AUTHOR
College of Surveying and Geo-informatics, Tongji University, Shanghai, China
F. Peng
College of Surveying and Geo-informatics, Tongji University, Shanghai, China
Center for Spatial Information Science and Sustainable Development, Shanghai, China
B. Li
College of Surveying and Geo-informatics, Tongji University, Shanghai, China
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Cited
38 citations as recorded by crossref.
- An efficient improved singular spectrum analysis for processing GNSS position time series with missing data K. Ji et al. https://doi.org/10.1093/gji/ggae381
- Weighted multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models by considering the formal errors Y. Shen et al. https://doi.org/10.1093/gji/ggab199
- A Comprehensive Survey on Imputation of Missing Data in Internet of Things D. Adhikari et al. https://doi.org/10.1145/3533381
- Modulation Recognition of Radar Signals Based on Adaptive Singular Value Reconstruction and Deep Residual Learning K. Chen et al. https://doi.org/10.3390/s21020449
- Extended Multiresolution Analysis for Filtering Incomplete Heterogeneous Geophysical Time Series K. Ji et al. https://doi.org/10.1109/TGRS.2024.3425955
- Iteration empirical mode decomposition method for filling the missing data of GNSS position time series X. Qiu et al. https://doi.org/10.13168/AGG.2022.0012
- Filling missing values of multi-station GNSS coordinate time series based on matrix completion Z. Bao et al. https://doi.org/10.1016/j.measurement.2021.109862
- Bridging the gap between GRACE and GRACE follow-on monthly gravity field solutions using improved multichannel singular spectrum analysis F. Wang et al. https://doi.org/10.1016/j.jhydrol.2021.125972
- Seasonal driving sources and hydrological-induced secular trend of the vertical displacement in North China T. Feng et al. https://doi.org/10.1016/j.ejrh.2022.101091
- Reconstruction of Water Infiltration Rate Reducibility in Response to Suspended Solid Characteristics Using Singular Spectrum Analysis: An Application to the Caspian Sea Coast of Nur, Iran M. Taie Semiromi & D. Ghasemian https://doi.org/10.3390/hydrology5040059
- On the application of Monte Carlo singular spectrum analysis to GPS position time series S. Khazraei & A. Amiri-Simkooei https://doi.org/10.1007/s00190-019-01253-x
- Reconstruction of gappy GPS coordinate time series using empirical orthogonal functions C. Xu https://doi.org/10.1002/2016JB013188
- Minimum Norm Least-Squares Wavelet Filtering for Incomplete Geophysical Time Series K. Ji et al. https://doi.org/10.1109/TGRS.2025.3625596
- Model Agnostic Time Series Analysis via Matrix Estimation A. Agarwal et al. https://doi.org/10.1145/3287319
- Inter‐model Comparison of Turbidity‐Discharge Rating Curves and the Implications for Reservoir Operations Management K. Wang et al. https://doi.org/10.1111/1752-1688.12906
- Geophysical Signal Detection in the Earth’s Oblateness Variation and Its Climate-Driven Source Analysis H. Yu et al. https://doi.org/10.3390/rs13102004
- Singular spectrum analysis for the time-variable seasonal signals from GPS in Yunnan Province W. Tan et al. https://doi.org/10.1016/j.geog.2024.05.002
- Missing value imputation in time series using Singular Spectrum Analysis R. Mahmoudvand & P. Rodrigues https://doi.org/10.1142/S2335680416500058
- An Improved Principal Component Analysis Method for the Interpolation of Missing Data in GNSS-Derived PWV Time Series D. Zhu et al. https://doi.org/10.3390/rs15215153
- Reconstruction of groundwater levels to impute missing values using singular and multichannel spectrum analysis: application to the Ardabil Plain, Iran M. Taie Semiromi & M. Koch https://doi.org/10.1080/02626667.2019.1669793
- Analyzing Error Bounds for Seasonal-Trend Decomposition of Antarctica Temperature Time Series Involving Missing Data C. Kwok et al. https://doi.org/10.3390/atmos14020193
- A heuristic singular spectrum analysis method for suspended sediment concentration time series contaminated with multiplicative noise F. Wang et al. https://doi.org/10.1007/s40328-019-00269-1
- Data Adaptive Analysis on Vertical Surface Deformation Derived from Daily ITSG-Grace2018 Model W. Li https://doi.org/10.3390/s20164477
- Independent Component Extraction from the Incomplete Coordinate Time Series of Regional GNSS Networks T. Feng et al. https://doi.org/10.3390/s21051569
- Seasonal and Interannual Variations in Hydrological Dynamics of the Amazon Basin: Insights from Geodetic Observations M. He et al. https://doi.org/10.3390/rs17152739
- Extended singular spectrum analysis for processing incomplete heterogeneous geodetic time series K. Ji et al. https://doi.org/10.1007/s00190-023-01764-8
- Filtering Unevenly Spaced Geophysical Time Series as an Ill-Posed Problem K. Ji et al. https://doi.org/10.1007/s10712-025-09924-5
- Multichannel Singular Spectrum Analysis in the Estimates of Common Environmental Effects Affecting GPS Observations M. Gruszczynska et al. https://doi.org/10.1007/s00024-018-1814-0
- Singular Spectrum Analysis With Conditional Predictions for Real‐Time State Estimation and Forecasting H. Ogrosky et al. https://doi.org/10.1029/2018GL081100
- Singular spectrum analysis for heterogeneous time series by taking its formal errors into account F. Wang https://doi.org/10.13168/AGG.2018.0029
- Improved multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models F. Wang et al. https://doi.org/10.1093/gji/ggaa339
- An Adaptive Regularized Solution to Inverse Ill-Posed Models K. Ji et al. https://doi.org/10.1109/TGRS.2022.3205572
- Extended Principal Component Analysis for Spatiotemporal Filtering of Incomplete Heterogeneous GNSS Position Time Series K. Ji et al. https://doi.org/10.1109/TGRS.2023.3277460
- Brain–Computer Interface: The HOL–SSA Decomposition and Two-Phase Classification on the HGD EEG Data M. Antony et al. https://doi.org/10.3390/diagnostics13172852
- Estimates of Vertical Velocity Errors for IGS ITRF2014 Stations by Applying the Improved Singular Spectrum Analysis Method and Environmental Loading Models A. Klos et al. https://doi.org/10.1007/s00024-017-1494-1
- A method based on MTLS and ILSP for GNSS coordinate time series analysis with missing data Y. Ren et al. https://doi.org/10.1016/j.asr.2021.06.037
- An Improved DINEOF Algorithm Based on Optimized Validation Points Selection Method Z. Yang et al. https://doi.org/10.3390/w15030392
- Least squares Fourier filter for processing incomplete and heterogeneous GNSS position time series K. Ji et al. https://doi.org/10.1007/s10291-025-01885-x
38 citations as recorded by crossref.
- An efficient improved singular spectrum analysis for processing GNSS position time series with missing data K. Ji et al. https://doi.org/10.1093/gji/ggae381
- Weighted multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models by considering the formal errors Y. Shen et al. https://doi.org/10.1093/gji/ggab199
- A Comprehensive Survey on Imputation of Missing Data in Internet of Things D. Adhikari et al. https://doi.org/10.1145/3533381
- Modulation Recognition of Radar Signals Based on Adaptive Singular Value Reconstruction and Deep Residual Learning K. Chen et al. https://doi.org/10.3390/s21020449
- Extended Multiresolution Analysis for Filtering Incomplete Heterogeneous Geophysical Time Series K. Ji et al. https://doi.org/10.1109/TGRS.2024.3425955
- Iteration empirical mode decomposition method for filling the missing data of GNSS position time series X. Qiu et al. https://doi.org/10.13168/AGG.2022.0012
- Filling missing values of multi-station GNSS coordinate time series based on matrix completion Z. Bao et al. https://doi.org/10.1016/j.measurement.2021.109862
- Bridging the gap between GRACE and GRACE follow-on monthly gravity field solutions using improved multichannel singular spectrum analysis F. Wang et al. https://doi.org/10.1016/j.jhydrol.2021.125972
- Seasonal driving sources and hydrological-induced secular trend of the vertical displacement in North China T. Feng et al. https://doi.org/10.1016/j.ejrh.2022.101091
- Reconstruction of Water Infiltration Rate Reducibility in Response to Suspended Solid Characteristics Using Singular Spectrum Analysis: An Application to the Caspian Sea Coast of Nur, Iran M. Taie Semiromi & D. Ghasemian https://doi.org/10.3390/hydrology5040059
- On the application of Monte Carlo singular spectrum analysis to GPS position time series S. Khazraei & A. Amiri-Simkooei https://doi.org/10.1007/s00190-019-01253-x
- Reconstruction of gappy GPS coordinate time series using empirical orthogonal functions C. Xu https://doi.org/10.1002/2016JB013188
- Minimum Norm Least-Squares Wavelet Filtering for Incomplete Geophysical Time Series K. Ji et al. https://doi.org/10.1109/TGRS.2025.3625596
- Model Agnostic Time Series Analysis via Matrix Estimation A. Agarwal et al. https://doi.org/10.1145/3287319
- Inter‐model Comparison of Turbidity‐Discharge Rating Curves and the Implications for Reservoir Operations Management K. Wang et al. https://doi.org/10.1111/1752-1688.12906
- Geophysical Signal Detection in the Earth’s Oblateness Variation and Its Climate-Driven Source Analysis H. Yu et al. https://doi.org/10.3390/rs13102004
- Singular spectrum analysis for the time-variable seasonal signals from GPS in Yunnan Province W. Tan et al. https://doi.org/10.1016/j.geog.2024.05.002
- Missing value imputation in time series using Singular Spectrum Analysis R. Mahmoudvand & P. Rodrigues https://doi.org/10.1142/S2335680416500058
- An Improved Principal Component Analysis Method for the Interpolation of Missing Data in GNSS-Derived PWV Time Series D. Zhu et al. https://doi.org/10.3390/rs15215153
- Reconstruction of groundwater levels to impute missing values using singular and multichannel spectrum analysis: application to the Ardabil Plain, Iran M. Taie Semiromi & M. Koch https://doi.org/10.1080/02626667.2019.1669793
- Analyzing Error Bounds for Seasonal-Trend Decomposition of Antarctica Temperature Time Series Involving Missing Data C. Kwok et al. https://doi.org/10.3390/atmos14020193
- A heuristic singular spectrum analysis method for suspended sediment concentration time series contaminated with multiplicative noise F. Wang et al. https://doi.org/10.1007/s40328-019-00269-1
- Data Adaptive Analysis on Vertical Surface Deformation Derived from Daily ITSG-Grace2018 Model W. Li https://doi.org/10.3390/s20164477
- Independent Component Extraction from the Incomplete Coordinate Time Series of Regional GNSS Networks T. Feng et al. https://doi.org/10.3390/s21051569
- Seasonal and Interannual Variations in Hydrological Dynamics of the Amazon Basin: Insights from Geodetic Observations M. He et al. https://doi.org/10.3390/rs17152739
- Extended singular spectrum analysis for processing incomplete heterogeneous geodetic time series K. Ji et al. https://doi.org/10.1007/s00190-023-01764-8
- Filtering Unevenly Spaced Geophysical Time Series as an Ill-Posed Problem K. Ji et al. https://doi.org/10.1007/s10712-025-09924-5
- Multichannel Singular Spectrum Analysis in the Estimates of Common Environmental Effects Affecting GPS Observations M. Gruszczynska et al. https://doi.org/10.1007/s00024-018-1814-0
- Singular Spectrum Analysis With Conditional Predictions for Real‐Time State Estimation and Forecasting H. Ogrosky et al. https://doi.org/10.1029/2018GL081100
- Singular spectrum analysis for heterogeneous time series by taking its formal errors into account F. Wang https://doi.org/10.13168/AGG.2018.0029
- Improved multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models F. Wang et al. https://doi.org/10.1093/gji/ggaa339
- An Adaptive Regularized Solution to Inverse Ill-Posed Models K. Ji et al. https://doi.org/10.1109/TGRS.2022.3205572
- Extended Principal Component Analysis for Spatiotemporal Filtering of Incomplete Heterogeneous GNSS Position Time Series K. Ji et al. https://doi.org/10.1109/TGRS.2023.3277460
- Brain–Computer Interface: The HOL–SSA Decomposition and Two-Phase Classification on the HGD EEG Data M. Antony et al. https://doi.org/10.3390/diagnostics13172852
- Estimates of Vertical Velocity Errors for IGS ITRF2014 Stations by Applying the Improved Singular Spectrum Analysis Method and Environmental Loading Models A. Klos et al. https://doi.org/10.1007/s00024-017-1494-1
- A method based on MTLS and ILSP for GNSS coordinate time series analysis with missing data Y. Ren et al. https://doi.org/10.1016/j.asr.2021.06.037
- An Improved DINEOF Algorithm Based on Optimized Validation Points Selection Method Z. Yang et al. https://doi.org/10.3390/w15030392
- Least squares Fourier filter for processing incomplete and heterogeneous GNSS position time series K. Ji et al. https://doi.org/10.1007/s10291-025-01885-x
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