%0 Journal Article
%T STUDIES OF RECOGNITION METHODS OF NUCLEAR AND LIGHTNING IMPULSE SIGNALS WITH APPLICATIONS OF WAVELET TRANSFORM<br>小波变换在核爆电磁脉冲信号识别中的应用
%A Zhang Xurong
%A Zhang Miaolan
%A Liu Xinzhong
%A <br>张旭荣
%A 张妙兰
%A 刘新中
%J 电子与信息学报
%D 1999
%I 
%X Recognizing of nuclear impulse from amounts lightning disturbance is the critical technology of nuclear electro-magnetism detection. The traditional algorithms based on Fourier transform require six parameters in frequency field. These methods also utilize the selection procedure of its parameters one by one to obtain high recognition probability. In this paper the superior partial properties in time and frequency fields of wavelet transform are used to classify these two kinds signals. The results are that only requiring three parameters, this algorithm can reach high recogniton probability. This method may introduce electro-magnetism detection to the field of nuclear monitor in the future.
%K Mallat algorithm
%K Character parameter selection
%K Recognition field<br>Mallat算法
%K 特征选择
%K 识别域
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=01F99649BC40644444D41E387AF4ACBD&yid=B914830F5B1D1078&vid=659D3B06EBF534A7&iid=94C357A881DFC066&sid=2868AE484E7BAD6B&eid=AB720B703F452703&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=3