Spatiotemporal filtering of regional GNSS network’s position time series with missing data using principle component analysis

By Yunzhong Shen, Weiwei Li, Guochang Xu, Bofeng Li. Journal of Geodesy, 2013

75 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Oceanography

View Paper: https://www.semanticscholar.org/paper/a95cdf271e6b6c34b2fa83ea48e0fef2028b5f23

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In Aerospace Engineering

1. Yuanxi Yang

In Oceanography

1. Yuanxi Yang
2. Yunzhong Shen

Citations in the corpus

• Spatiotemporal filtering for regional GPS network in China using independent component analysis (2017, methodology): “More recently, the PCA method has been modified in a number of studies to improve its performance (Shen et al. 2014; He et al. 2015; Li et al. 2015).”
• Improved singular spectrum analysis for time series with missing data (2014, methodology): “In order to evalu-20 ate the accuracies of recovered PCs from the time series with different percentages of missing data, following the idea in Shen et al. (2014), we compute the relative errors of the first four modes derived by ISSA and SSAM with the following expression, p = 1 N N∑ i=1 √√√√ (ai…”