%0 Journal Article
%T RECOGNITION OF SIGNALS FROM COLORED NOISE BACKGROUND IN GENERALIZED S-TRANSFORMATION DOMAIN<br>广义S变换域有色噪声与信号识别方法
%A 高静怀
%A 满蔚仕
%A 陈树民
%J 地球物理学报
%D 2004
%I 
%X We study how to distinguish signals from colored noise in the S-transform (ST) and generalized S-transform (GST) domain. First, the mean ST and GST power spectra of white noise are derived. The result shows that they are related linearly with frequency. Then the local GST power spectrum of colored noise is qualitatively analyzed. It is concluded that the local GST spectrum of colored noise follows chi-square distribution with two degree of freedom. These conclusions are verified by Monte Carle simulation. Based on the above results, a method to distinguish signals from colored noise is proposed, and its effectiveness is proved by synthetic data.
%K S-transformation
%K Generalized S-transformation
%K Colored noise
%K Seismic data processing
%K Wavelet transform
%K Detection of thin beds<br>S变换
%K 有色噪声
%K 地震资料
%K 小波变换
%K 薄互层探测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=1E44AE713D8A6DE0&jid=14DC41C59CBF6770055A7D610D53AE46&aid=6D48A10A278E12CA&yid=D0E58B75BFD8E51C&vid=F4B561950EE1D31A&iid=94C357A881DFC066&sid=F26986CDF689DBC4&eid=4AA5FA7F666BDD0A&journal_id=0001-5733&journal_name=地球物理学报&referenced_num=19&reference_num=10