%0 Journal Article
%T Weak signal estimation in chaotic clutter using wavelet analysis and symmetric LS-SVM regression<br>基于对偶约束最小二乘支持向量机的混沌海杂波背景中的微弱信号检测
%A Xing Hong-Yan
%A Jin Tian-Li
%A <br>行鸿彦
%A 金天力
%J 物理学报
%D 2010
%I 
%X This article examines the theory of phase space reconstruction in complicated nonlinear system and further proposes a new method,an advanced Least Square Support Vector Machine (LS-SVM) model,to detect weak signals from a chaotic clutter. This method functions in following sequences:1) db3 wavelet decomposition of the signals,2) LS-SVM prediction,which includes increasing the symmetry constraint and improving the kernel function,3) Reconstruction. It is established a one-step predictive model that detects t...
%K chaos
%K LS-SVM
%K clutter
%K weak signal estimation<br>混沌，
%K 最小二乘支持向量机，
%K 海杂波，
%K 微弱信号检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=D3C52119992ACF97642FB868E406468B&yid=140ECF96957D60B2&vid=6AC2A205FBB0EF23&iid=CA4FD0336C81A37A&sid=B0EBA60720995721&eid=A020552C37306588&journal_id=1000-3290&journal_name=物理学报&referenced_num=1&reference_num=0