%0 Journal Article
%T Estimation of underdetermined mixing matrix based on support vector machine<br>
%A Yang Zuyuan
%A Xie Shengli
%A <br>
%J 自然科学进展
%D 2007
%I 
%X In underdetermined blind source separation (BSS), a novel algorithm based on extended support vector machine (SVM) is proposed to estimate the mixing matrix in this paper, including the number of the active sources. Instead of traditional clustering algorithms, it mainly takes the modulus of observations and the number in each direction of arrival, without any prior knowledge about the sources except for sparsity, and it is not sensitive to the initial values. Simulations are given to illustrate availability and robustness of our algorithm.
%K underdetermined BSS
%K SVM
%K clustering<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=504AF8C1E5476CA7C4EC9DF6FEAC14AC&aid=A4E74190B025887B5EE9BFE56E48B70E&yid=A732AF04DDA03BB3&vid=BCA2697F357F2001&iid=708DD6B15D2464E8&sid=196264D95F295743&eid=7264799D7F648D02&journal_id=1002-008X&journal_name=自然科学进展&referenced_num=0&reference_num=0