%0 Journal Article
%T APPLICATION OF HIGHER-ORDER STATISTICS IN MAGNETOTELLURIC DATA PROCESSING<br>高阶统计量在大地电磁测深数据处理中的应用研究
%A WANG Shu-Ming WANG Jia-Ying Institute of Geophysics
%A Geomatics
%A China University of Geosciences
%A Wuhan
%A China
%A <br>王书明
%A 王家映
%J 地球物理学报
%D 2004
%I 
%X Magnetotelluric (MT) responses some times have scattering at individual frequencies with big error bars or shape distortion, which lower the effectiveness of MT curves in describing underground electrical structures. The main reason for this is that natural MT signal is usually weak, and the traditional data processing method has weakness. This paper uses the higher-order statistics method to test the Gaussianity of MT signals. The results show that the signals are non-Gaussian. On the basis that the higher-order statistics vanish for any Gaussian process, this paper uses higher-order spectra to reconstruct power spectra, then estimates MT responses using reconstructed power spectra, to effectively suppress Gaussian colored noise. Synthetic tests show that the method presented in this paper is superior to the power spectral method in suppressing Gaussian colored noise, and can extract more useful information.
%K Signal processing
%K Higher-order statistics
%K Colored noise
%K Magnetotelluric<br>高阶统计量
%K 大地电磁测深
%K 数据处理
%K MT
%K 有色噪声
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=1E44AE713D8A6DE0&jid=14DC41C59CBF6770055A7D610D53AE46&aid=DC9A9EE69CAE6783&yid=D0E58B75BFD8E51C&vid=F4B561950EE1D31A&iid=94C357A881DFC066&sid=635968EA203846B7&eid=40541F483644ACC4&journal_id=0001-5733&journal_name=地球物理学报&referenced_num=8&reference_num=26