A method for detecting transient signals in GPS position time-series: Smoothing and principal component analysis

Geophysical Journal International

Volumn 193, Issue 1, 2013, Pages 171-186

  Ji, Kang Hyeun ^a   Herring, Thomas A ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

North america; Numerical solutions; Satellite geodesy; Spatial analysis; Time series analysis; Transient deformation

Indexed keywords

COST FUNCTIONS; EIGENVALUES AND EIGENFUNCTIONS; GEODETIC SATELLITES; GLOBAL POSITIONING SYSTEM; GROUNDWATER; KALMAN FILTERS; SIGNAL DETECTION; SIGNAL TO NOISE RATIO; SPATIAL DISTRIBUTION; TIME SERIES ANALYSIS; UNCERTAINTY ANALYSIS; WHITE NOISE;

NORTH AMERICA; NUMERICAL SOLUTION; SATELLITE GEODESY; SPATIAL ANALYSIS; TRANSIENT DEFORMATION;

TIME DOMAIN ANALYSIS;

ALGORITHM; DETECTION METHOD; EIGENVALUE; GEODESY; GPS; INTERPOLATION; KALMAN FILTER; MARKOV CHAIN; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; SIGNAL-TO-NOISE RATIO; SMOOTHING; SPATIAL DISTRIBUTION; TEMPORAL VARIATION; TIME SERIES ANALYSIS;

CALIFORNIA; LOS ANGELES BASIN; UNITED STATES;

EID: 84876824818     PISSN: 0956540X     EISSN: 1365246X     Source Type: Journal    
DOI: 10.1093/gji/ggt003     Document Type: Article

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