%0 Journal Article
%T DETECTION OF WEAK SUPERCONDUCTING GRAVIMETRIC SIGNALS WITH PRODUCT SPECTRUM OF WEIGHTED LSSA<br>基于加权最小二乘谱迭积算法探测超导重力观测弱信号
%A Yin Hui
%A Wang Yanyan
%A <br>尹晖
%A 王艳艳
%J 大地测量与地球动力学
%D 2011
%I 
%X 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...
%K weighted LSSA
%K product spectrum
%K superconducting gravimetric data
%K weak signals
%K noise<br>加权最小二乘谱分析
%K 谱迭积
%K 超导重力数据
%K 弱信号
%K 噪声
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=DA72A78627FE64EAA572951EA05D274A&jid=73A1A428591E600EF664B596512A2997&aid=CD4E991C11EF33A9091B009C5C1EB750&yid=9377ED8094509821&vid=4AD960B5AD2D111A&iid=E158A972A605785F&sid=E84BBBDDD74F497C&eid=8BD23BD67BF01A5C&journal_id=1671-5942&journal_name=大地测量与地球动力学&referenced_num=0&reference_num=7