Singular spectrum analysis for the time-variable seasonal signals from GPS in Yunnan Province
Studying the seasonal deformation in GPS time series is important to interpreting geophysical contributors and identifying unmodeled and mismodeled seasonal signals. Traditional seasonal signal extraction used the least squares method, which models seasonal deformation as a constant seasonal amplitu...
Saved in:
| Main Authors: | Weijie Tan, Junping Chen, Yize Zhang, Bin Wang, Songyun Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2024-11-01
|
| Series: | Geodesy and Geodynamics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674984724000442 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid Model of Singular Spectrum Analysis and ARIMA for Seasonal Time Series Data
by: Gumgum Darmawan, et al.
Published: (2022-03-01) -
Accuracy Evaluation of Multi-Technique Combination Nonlinear Terrestrial Reference Frame and EOP Based on Singular Spectrum Analysis
by: Qiuxia Li, et al.
Published: (2025-02-01) -
SSA-GAN: Singular Spectrum Analysis-Enhanced Generative Adversarial Network for Multispectral Pansharpening
by: Lanfa Liu, et al.
Published: (2025-02-01) -
APPLICATION OF SINGULAR SPECTRUM ANALYSIS METHOD IN FORECASTING INDONESIA COMPOSITE DATA
by: Latifah Nur Wijayanti, et al.
Published: (2023-04-01) -
Advanced fault diagnosis in industrial robots through hierarchical hyper-laplacian priors and singular spectrum analysis
by: Riyadh Nazar Ali Algburi, et al.
Published: (2025-05-01)