2016
DOI: 10.1007/s12517-016-2468-9
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Identification of significant periodicities in daily GPS time series using least-squares spectral analysis

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Cited by 2 publications
(1 citation statement)
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“…The influence of local environmental effects such as rain, temperature, or earth crust load on the coordinate time series of selected IGS (International GNSS Service) stations was analysed by continuous wavelet transform signal reconstruction . The residual time series after adopting a site motion model, which is used on the time series of permanent GPS/GNSS stations for analysing crustal deformations and other geophysical phenomena of plate tectonics, were analysed for underlying periodicities by LSSA in Nobakht et al In Erol, the LSSA was used on time series captured by inclination sensors and GPS data for continuous monitoring of a tall building in order to detect natural frequencies and possible anomalies. In Zhang et al, the authors adopted a fast FT algorithm for detecting the local dominant frequencies of two sets of GNSS real bridge data.…”
Section: Mathematical Backgroundmentioning
confidence: 99%
“…The influence of local environmental effects such as rain, temperature, or earth crust load on the coordinate time series of selected IGS (International GNSS Service) stations was analysed by continuous wavelet transform signal reconstruction . The residual time series after adopting a site motion model, which is used on the time series of permanent GPS/GNSS stations for analysing crustal deformations and other geophysical phenomena of plate tectonics, were analysed for underlying periodicities by LSSA in Nobakht et al In Erol, the LSSA was used on time series captured by inclination sensors and GPS data for continuous monitoring of a tall building in order to detect natural frequencies and possible anomalies. In Zhang et al, the authors adopted a fast FT algorithm for detecting the local dominant frequencies of two sets of GNSS real bridge data.…”
Section: Mathematical Backgroundmentioning
confidence: 99%