Least Squares Spectral Analysis and Its Application to Superconducting Gravimeter Data Analysis

The principle of (least squares spectrum analysis, LSSA) is introduced in this paper based on the least squares parametric adjustment in vector space. A possible strategy is given for the analysis of time series obtained from the Canadian Superconducting Gravimeter Installation (CGSI), which exhibit minor gaps (unequally spaced), offsets, spikes (seismic events) and variable weights due to different noise levels.