DETECTION OF WEAK SUPERCONDUCTING GRAVIMETRIC SIGNALS WITH PRODUCT SPECTRUM OF WEIGHTED LSSA
基于加权最小二乘谱迭积算法探测超导重力观测弱信号

Least Squares Spectral Analysis(LSSA) has been shown more suitable than Fourier analysis for analyzing time series with spikes,gaps,datum shrifts(offsets) and other disturbances in a variety of applications in geodesy and geophysics.To detect the weak superconducting gravimetric signals,a methodology of product spectrum based on weighted LSSA is presented,which can take consideration the correlations among the signals and highlight the potential spectra power of high resolution in the common figures as well...